|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
No Growbag Graphs found.
|
|
|
|
|
Results
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.  |
UAI  |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah |
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi |
Unsupervised anomaly detection with adversarial mirrored autoencoders. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Andrew H. Song, Demba E. Ba, Emery N. Brown |
PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alexis Bellot, Mihaela van der Schaar |
Application of kernel hypothesis testing on set-valued data. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Haipeng Chen 0001, Wei Qiu 0001, Han-Ching Ou, Bo An 0001, Milind Tambe |
Contingency-aware influence maximization: A reinforcement learning approach. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Pinyan Lu, Chao Tao, Xiaojin Zhang 0002 |
Variance-dependent best arm identification. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner |
Identifying regions of trusted predictions. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hu Ding, Fan Yang, Jiawei Huang |
Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic |
Trumpets: Injective flows for inference and inverse problems. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Florian Jaeckle, M. Pawan Kumar |
Generating adversarial examples with graph neural networks. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Bowen Weng, Huaqing Xiong, Lin Zhao 0009, Yingbin Liang, Wei Zhang 0013 |
Finite-time theory for momentum Q-learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yifei Min, Lin Chen 0003, Amin Karbasi |
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Shantanu Gupta, Zachary C. Lipton, David Childers |
Estimating treatment effects with observed confounders and mediators. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yinchong Yang, Florian Buettner 0001 |
Multi-output Gaussian Processes for uncertainty-aware recommender systems. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh |
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney |
LocalNewton: Reducing communication rounds for distributed learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | |
Preface and Frontmatter. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | David Strieder, Tobias Freidling, Stefan Haffner, Mathias Drton |
Confidence in causal discovery with linear causal models. |
UAI |
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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Leonardo Cella, Massimiliano Pontil |
Multi-task and meta-learning with sparse linear bandits. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Benjie Wang, Stefan Webb, Tom Rainforth |
Statistically robust neural network classification. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu |
Class balancing GAN with a classifier in the loop. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Colin White, Sam Nolen, Yash Savani |
Exploring the loss landscape in neural architecture search. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Marcel Wienöbst, Max Bannach, Maciej Liskiewicz |
Extendability of causal graphical models: Algorithms and computational complexity. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Robin J. Evans |
Dependency in DAG models with hidden variables. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | William Brown |
Learning in Multi-Player Stochastic Games. |
UAI |
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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Komal Dhull, Jingyan Wang 0001, Nihar B. Shah, Yuanzhi Li, R. Ravi 0001 |
A heuristic for statistical seriation. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni |
Bandits with partially observable confounded data. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Björn Haddenhorst, Viktor Bengs, Jasmin Brandt, Eyke Hüllermeier |
Testification of Condorcet Winners in dueling bandits. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Rameshwar Pratap, Raghav Kulkarni |
Variance reduction in frequency estimators via control variates method. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Feras A. Saad, Vikash K. Mansinghka |
Hierarchical infinite relational model. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh |
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar |
Competitive policy optimization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Feldstein, Vaishak Belle |
Lifted reasoning meets weighted model integration. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | David Eriksson, Martin Jankowiak |
High-dimensional Bayesian optimization with sparse axis-aligned subspaces. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zhongjie Yu 0001, Mingye Zhu, Martin Trapp 0001, Arseny Skryagin, Kristian Kersting |
Leveraging probabilistic circuits for nonparametric multi-output regression. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Blake Mason, Ardhendu Tripathy, Robert Nowak 0001 |
Nearest neighbor search under uncertainty. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck |
Tractable computation of expected kernels. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Géraldin Nanfack, Paul Temple, Benoît Frénay |
Global explanations with decision rules: a co-learning approach. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Qiwen Cui, Lin F. Yang |
Minimax sample complexity for turn-based stochastic game. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ji Gao, Amin Karbasi, Mohammad Mahmoody |
Learning and certification under instance-targeted poisoning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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? |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts |
Hierarchical Indian buffet neural networks for Bayesian continual learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Bingyuan Zhang, Jie Chen, Yoshikazu Terada |
Dynamic visualization for L1 fusion convex clustering in near-linear time. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | ChangYong Oh, Efstratios Gavves, Max Welling |
Mixed variable Bayesian optimization with frequency modulated kernels. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Vishwak Srinivasan, Justin Khim, Arindam Banerjee 0001, Pradeep Ravikumar |
Subseasonal climate prediction in the western US using Bayesian spatial models. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava |
SDM-Net: A simple and effective model for generalized zero-shot learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zhili Feng, Fred Roosta, David P. Woodruff |
Non-PSD matrix sketching with applications to regression and optimization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Huang Fang, Guanhua Fang, Tan Yu, Ping Li 0001 |
Efficient greedy coordinate descent via variable partitioning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Topi Paananen, Michael Riis Andersen, Aki Vehtari |
Uncertainty-aware sensitivity analysis using Rényi divergences. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi |
Local explanations via necessity and sufficiency: unifying theory and practice. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet |
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Abhinav Kumar, Gaurav Sinha |
Disentangling mixtures of unknown causal interventions. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jeffrey Gu, Serena Yeung |
Staying in shape: learning invariant shape representations using contrastive learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Simon Luo, Lamiae Azizi, Mahito Sugiyama |
Hierarchical probabilistic model for blind source separation via Legendre transformation. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Difan Zou, Pan Xu 0002, Quanquan Gu |
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jon M. Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar |
Stochastic model for sunk cost bias. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell |
Sequential core-set Monte Carlo. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu |
An unsupervised video game playstyle metric via state discretization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Dennis Ulmer, Giovanni Cinà |
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jasper De Bock, Alexander Erreygers, Thomas Krak |
Sum-product laws and efficient algorithms for imprecise Markov chains. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Paulius Dilkas, Vaishak Belle |
Weighted model counting with conditional weights for Bayesian networks. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Spencer L. Gordon, Vinayak M. Kumar, Leonard J. Schulman, Piyush Srivastava 0001 |
Condition number bounds for causal inference. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Frank Nussbaum, Joachim Giesen |
Robust principal component analysis for generalized multi-view models. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sambaran Bandyopadhyay, Vishal Peter |
Unsupervised constrained community detection via self-expressive graph neural network. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat |
Addressing fairness in classification with a model-agnostic multi-objective algorithm. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Batya Kenig |
Approximate implication with d-separation. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh |
Generative Archimedean copulas. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis |
Generalization error bounds for deep unfolding RNNs. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik |
Known unknowns: Learning novel concepts using reasoning-by-elimination. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete |
Efficient online inference for nonparametric mixture models. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal |
Communication efficient parallel reinforcement learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Schreuder, Evgenii Chzhen |
Classification with abstention but without disparities. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hui Lan, Antoni B. Chan |
Hierarchical learning of Hidden Markov Models with clustering regularization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Claudia Shi, Victor Veitch, David M. Blei |
Invariant representation learning for treatment effect estimation. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nir Baram, Guy Tennenholtz, Shie Mannor |
Action redundancy in reinforcement learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alexis Bellot, Mihaela van der Schaar |
A kernel two-sample test with selection bias. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Samarth Gupta, Saurabh Amin |
Integer programming-based error-correcting output code design for robust classification. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He |
The complexity of nonconvex-strongly-concave minimax optimization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Fengxiang He, Bohan Wang, Dacheng Tao |
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh |
A variational approximation for analyzing the dynamics of panel data. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Xinyan Yan, Byron Boots, Ching-An Cheng |
Explaining fast improvement in online imitation learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin |
Post-hoc loss-calibration for Bayesian neural networks. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile |
Random probabilistic circuits. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Kei Ishikawa, Takashi Goda |
Efficient debiased evidence estimation by multilevel Monte Carlo sampling. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik |
Towards a unified framework for fair and stable graph representation learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ezgi Korkmaz |
Investigating vulnerabilities of deep neural policies. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 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. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly |
pRSL: Interpretable multi-label stacking by learning probabilistic rules. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan 0001, Arijit Raychowdhury, Justin Romberg |
A decentralized policy gradient approach to multi-task reinforcement learning. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Dexun Li, Meghna Lowalekar, Pradeep Varakantham |
CLAIM: curriculum learning policy for influence maximization in unknown social networks. |
UAI |
2021 |
DBLP BibTeX RDF |
|
| 1 | Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon 0001 |
Improving approximate optimal transport distances using quantization. |
UAI |
2021 |
DBLP BibTeX RDF |
|
Displaying result #501 - #600 of 3327 (100 per page; Change: ) Pages: [ <<][ 1][ 2][ 3][ 4][ 5][ 6][ 7][ 8][ 9][ 10][ 11][ 12][ 13][ 14][ 15][ >>] |
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")
data released under the ODC-BY 1.0 license