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Found 3327 publication records. Showing 3327 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Fan Ding, Nan Jiang 0012, Jianzhu Ma, Jian Peng 0001, Jinbo Xu, Yexiang Xue |
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1100-1109, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah |
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1671-1681, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi |
Unsupervised anomaly detection with adversarial mirrored autoencoders. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 365-375, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Andrew H. Song, Demba E. Ba, Emery N. Brown |
PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1371-1381, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Alexis Bellot, Mihaela van der Schaar |
Application of kernel hypothesis testing on set-valued data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 194-204, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Haipeng Chen 0001, Wei Qiu 0001, Han-Ching Ou, Bo An 0001, Milind Tambe |
Contingency-aware influence maximization: A reinforcement learning approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1535-1545, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Pinyan Lu, Chao Tao, Xiaojin Zhang 0002 |
Variance-dependent best arm identification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1120-1129, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner |
Identifying regions of trusted predictions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2125-2134, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Hu Ding, Fan Yang, Jiawei Huang |
Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 268-278, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er |
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 971-981, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic |
Trumpets: Injective flows for inference and inverse problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1269-1278, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Florian Jaeckle, M. Pawan Kumar |
Generating adversarial examples with graph neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1556-1564, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Bowen Weng, Huaqing Xiong, Lin Zhao 0009, Yingbin Liang, Wei Zhang 0013 |
Finite-time theory for momentum Q-learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 665-674, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Yifei Min, Lin Chen 0003, Amin Karbasi |
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 129-139, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Shantanu Gupta, Zachary C. Lipton, David Childers |
Estimating treatment effects with observed confounders and mediators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 982-991, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Yinchong Yang, Florian Buettner 0001 |
Multi-output Gaussian Processes for uncertainty-aware recommender systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1505-1514, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh |
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 118-128, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney |
LocalNewton: Reducing communication rounds for distributed learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 632-642, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | |
Preface and Frontmatter. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1-11, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | David Strieder, Tobias Freidling, Stefan Haffner, Mathias Drton |
Confidence in causal discovery with linear causal models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1217-1226, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues 0001 |
On the effects of quantisation on model uncertainty in Bayesian neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 929-938, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Leonardo Cella, Massimiliano Pontil |
Multi-task and meta-learning with sparse linear bandits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1692-1702, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Benjie Wang, Stefan Webb, Tom Rainforth |
Statistically robust neural network classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1735-1745, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu |
Class balancing GAN with a classifier in the loop. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1618-1627, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Colin White, Sam Nolen, Yash Savani |
Exploring the loss landscape in neural architecture search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 654-664, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Marcel Wienöbst, Max Bannach, Maciej Liskiewicz |
Extendability of causal graphical models: Algorithms and computational complexity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1248-1257, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Robin J. Evans |
Dependency in DAG models with hidden variables. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 813-822, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | William Brown |
Learning in Multi-Player Stochastic Games. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1927-1937, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams |
Active multi-fidelity Bayesian online changepoint detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1916-1926, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Komal Dhull, Jingyan Wang 0001, Nihar B. Shah, Yuanzhi Li, R. Ravi 0001 |
A heuristic for statistical seriation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 621-631, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni |
Bandits with partially observable confounded data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 430-439, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Björn Haddenhorst, Viktor Bengs, Jasmin Brandt, Eyke Hüllermeier |
Testification of Condorcet Winners in dueling bandits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1195-1205, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Rameshwar Pratap, Raghav Kulkarni |
Variance reduction in frequency estimators via control variates method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 183-193, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Feras A. Saad, Vikash K. Mansinghka |
Hierarchical infinite relational model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1067-1077, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh |
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 525-535, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar |
Competitive policy optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 64-74, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | Jonathan Feldstein, Vaishak Belle |
Lifted reasoning meets weighted model integration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 322-332, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
1 | David Eriksson, Martin Jankowiak |
High-dimensional Bayesian optimization with sparse axis-aligned subspaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 493-503, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Zhongjie Yu 0001, Mingye Zhu, Martin Trapp 0001, Arseny Skryagin, Kristian Kersting |
Leveraging probabilistic circuits for nonparametric multi-output regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2008-2018, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Blake Mason, Ardhendu Tripathy, Robert Nowak 0001 |
Nearest neighbor search under uncertainty. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1777-1786, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck |
Tractable computation of expected kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1163-1173, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu 0011 |
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 397-407, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Géraldin Nanfack, Paul Temple, Benoît Frénay |
Global explanations with decision rules: a co-learning approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 589-599, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Qiwen Cui, Lin F. Yang |
Minimax sample complexity for turn-based stochastic game. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1496-1504, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Ji Gao, Amin Karbasi, Mohammad Mahmoody |
Learning and certification under instance-targeted poisoning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2135-2145, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu 0001 |
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 75-85, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Simon S. Du, Wei Hu 0014, Zhiyuan Li 0005, Ruoqi Shen, Zhao Song 0002, Jiajun Wu 0001 |
When is particle filtering efficient for planning in partially observed linear dynamical systems? ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 728-737, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi |
Task similarity aware meta learning: theory-inspired improvement on MAML. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 23-33, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts |
Hierarchical Indian buffet neural networks for Bayesian continual learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 749-759, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Bingyuan Zhang, Jie Chen, Yoshikazu Terada |
Dynamic visualization for L1 fusion convex clustering in near-linear time. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 515-524, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | ChangYong Oh, Efstratios Gavves, Max Welling |
Mixed variable Bayesian optimization with frequency modulated kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 950-960, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Vishwak Srinivasan, Justin Khim, Arindam Banerjee 0001, Pradeep Ravikumar |
Subseasonal climate prediction in the western US using Bayesian spatial models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 961-970, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava |
SDM-Net: A simple and effective model for generalized zero-shot learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2103-2113, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Zhili Feng, Fred Roosta, David P. Woodruff |
Non-PSD matrix sketching with applications to regression and optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1841-1851, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Huang Fang, Guanhua Fang, Tan Yu, Ping Li 0001 |
Efficient greedy coordinate descent via variable partitioning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 547-557, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Topi Paananen, Michael Riis Andersen, Aki Vehtari |
Uncertainty-aware sensitivity analysis using Rényi divergences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1185-1194, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi |
Local explanations via necessity and sufficiency: unifying theory and practice. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1382-1392, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet |
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 707-717, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Abhinav Kumar, Gaurav Sinha |
Disentangling mixtures of unknown causal interventions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2093-2102, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Jeffrey Gu, Serena Yeung |
Staying in shape: learning invariant shape representations using contrastive learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1852-1862, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Simon Luo, Lamiae Azizi, Mahito Sugiyama |
Hierarchical probabilistic model for blind source separation via Legendre transformation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 312-321, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Difan Zou, Pan Xu 0002, Quanquan Gu |
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1152-1162, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Jon M. Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar |
Stochastic model for sunk cost bias. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1279-1288, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell |
Sequential core-set Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2165-2175, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu |
An unsupervised video game playstyle metric via state discretization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 215-224, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Dennis Ulmer, Giovanni Cinà |
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1766-1776, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Jasper De Bock, Alexander Erreygers, Thomas Krak |
Sum-product laws and efficient algorithms for imprecise Markov chains. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1476-1485, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Paulius Dilkas, Vaishak Belle |
Weighted model counting with conditional weights for Bayesian networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 386-396, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Spencer L. Gordon, Vinayak M. Kumar, Leonard J. Schulman, Piyush Srivastava 0001 |
Condition number bounds for causal inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1948-1957, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Frank Nussbaum, Joachim Giesen |
Robust principal component analysis for generalized multi-view models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 686-695, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Sambaran Bandyopadhyay, Vishal Peter |
Unsupervised constrained community detection via self-expressive graph neural network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1078-1088, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein |
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 939-949, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat |
Addressing fairness in classification with a model-agnostic multi-objective algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 600-609, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Batya Kenig |
Approximate implication with d-separation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 301-311, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh |
Generative Archimedean copulas. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 643-653, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis |
Generalization error bounds for deep unfolding RNNs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1515-1524, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik |
Known unknowns: Learning novel concepts using reasoning-by-elimination. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 504-514, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete |
Efficient online inference for nonparametric mixture models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2072-2081, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal |
Communication efficient parallel reinforcement learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 247-256, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Nicolas Schreuder, Evgenii Chzhen |
Classification with abstention but without disparities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1227-1236, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Hui Lan, Antoni B. Chan |
Hierarchical learning of Hidden Markov Models with clustering regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1628-1638, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Claudia Shi, Victor Veitch, David M. Blei |
Invariant representation learning for treatment effect estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1546-1555, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan |
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1819-1829, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Nir Baram, Guy Tennenholtz, Shie Mannor |
Action redundancy in reinforcement learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 376-385, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Alexis Bellot, Mihaela van der Schaar |
A kernel two-sample test with selection bias. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 205-214, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Samarth Gupta, Saurabh Amin |
Integer programming-based error-correcting output code design for robust classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1724-1734, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He |
The complexity of nonconvex-strongly-concave minimax optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 482-492, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Fengxiang He, Bohan Wang, Dacheng Tao |
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 802-812, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh |
A variational approximation for analyzing the dynamics of panel data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 107-117, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Xinyan Yan, Byron Boots, Ching-An Cheng |
Explaining fast improvement in online imitation learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1874-1884, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin |
Post-hoc loss-calibration for Bayesian neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1403-1412, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile |
Random probabilistic circuits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1682-1691, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Kei Ishikawa, Takashi Goda |
Efficient debiased evidence estimation by multilevel Monte Carlo sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 34-43, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik |
Towards a unified framework for fair and stable graph representation learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2114-2124, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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1 | Ezgi Korkmaz |
Investigating vulnerabilities of deep neural policies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1661-1670, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed 0001, Kyle Cranmer, Andrew McCallum |
Exact and approximate hierarchical clustering using A. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 2061-2071, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly |
pRSL: Interpretable multi-label stacking by learning probabilistic rules. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 461-470, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan 0001, Arijit Raychowdhury, Justin Romberg |
A decentralized policy gradient approach to multi-task reinforcement learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1002-1012, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Dexun Li, Meghna Lowalekar, Pradeep Varakantham |
CLAIM: curriculum learning policy for influence maximization in unknown social networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 1455-1465, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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1 | Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon 0001 |
Improving approximate optimal transport distances using quantization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, pp. 290-300, 2021, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2021 |
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