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Results
Found 3327 publication records. Showing 3327 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Kenneth Lee, Md Musfiqur Rahman, Murat Kocaoglu |
Finding Invariant Predictors Efficiently via Causal Structure.  |
UAI  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka |
In- or out-of-distribution detection via dual divergence estimation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol |
Baysian numerical integration with neural networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li 0012 |
Optimal Budget Allocation for Crowdsourcing Labels for Graphs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci |
When are post-hoc conceptual explanations identifiable? |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vidya Sagar Sharma |
Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Teodora Pandeva, Patrick Forré |
Multi-View Independent Component Analysis with Shared and Individual Sources. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page |
Variable importance matching for causal inference. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Colin Samplawski, Shiwei Fang, Ziqi Wang 0001, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin |
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Louenas Bounia, Frédéric Koriche |
Approximating probabilistic explanations via supermodular minimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Deqian Kong, Bo Pang, Tian Han 0001, Ying Nian Wu |
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski |
Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cevahir Köprülü, Thiago D. Simão, Nils Jansen 0001, Ufuk Topcu |
Risk-aware curriculum generation for heavy-tailed task distributions. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chuxuan Jiang, Geoff K. Nicholls, Jeong-Eun (Kate) Lee |
Bayesian inference for vertex-series-parallel partial orders. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin |
Phase-shifted adversarial training. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chao-Han Huck Yang, Zhengling Qi, Yifan Cui 0001, Pin-Yu Chen |
Pessimistic Model Selection for Offline Deep Reinforcement Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner |
Jana: Jointly amortized neural approximation of complex Bayesian models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Feiran Jia, Chenxi Qiu, Sarah Rajtmajer, Anna Cinzia Squicciarini |
Content Sharing Design for Social Welfare in Networked Disclosure Game. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman |
Learning good interventions in causal graphs via covering. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joar Skalse, Alessandro Abate |
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang 0001, Quanquan Gu |
Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yunpeng Xu, Wenge Guo, Zhi Wei 0001 |
Conformal Risk Control for Ordinal Classification. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach |
Causal effect estimation from observational and interventional data through matrix weighted linear estimators. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bao Nguyen, Viet Anh Nguyen |
Efficient Failure Pattern Identification of Predictive Algorithms. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianhang Zheng, Baochun Li |
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonghu Jeong, Minyong Cho, Philipp Benz, Tae-Hoon Kim |
Noisy adversarial representation learning for effective and efficient image obfuscation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma |
Combinatorial categorized bandits with expert rankings. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alessio Benavoli, Dario Azzimonti, Dario Piga |
Learning Choice Functions with Gaussian Processes. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yutian Gou, Jinfeng Yi, Lijun Zhang 0005 |
Stochastic Graphical Bandits with Heavy-Tailed Rewards. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng |
Pandering in a (flexible) representative democracy. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim |
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhiming Huang 0002, Jianping Pan 0001 |
A near-optimal high-probability swap-Regret upper bound for multi-agent bandits in unknown general-sum games. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko 0002, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee |
Towards Physically Reliable Molecular Representation Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni |
Bounding the optimal value function in compositional reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Valentin Bieri, Paul Streli, Berken Utku Demirel, Christian Holz 0001 |
BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Md I. I. Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz |
FLASH: Automating federated learning using CASH. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Daniel Andrade, Akiko Takeda |
Robust Gaussian process regression with the trimmed marginal likelihood. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham 0001, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi |
MixupE: Understanding and improving Mixup from directional derivative perspective. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Weiyan Xie, Xiao-Hui Li 0009, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang |
Two-stage holistic and contrastive explanation of image classification. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg |
Partial identification of dose responses with hidden confounders. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton |
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Baptiste Bauvin, Cécile Capponi, Florence Clerc, Pascal Germain, Sokol Koço, Jacques Corbeil |
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Robin J. Evans 0002, Ilya Shpitser (eds.) |
Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiaojiao Fan, David Alvarez-Melis |
Generating Synthetic Datasets by Interpolating along Generalized Geodesics. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee 0001 |
On the Convergence of Continual Learning with Adaptive Methods. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin |
Neural tangent kernel at initialization: linear width suffices. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Y. Li, Erin Grant, Thomas L. Griffiths 0001 |
Gaussian Process Surrogate Models for Neural Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen |
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pierre Osselin, Henry Kenlay, Xiaowen Dong 0001 |
Structure-aware robustness certificates for graph classification. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn |
Validation of composite systems by discrepancy propagation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ching-Wen Ma, Yanwei Liu |
DeepGD3: Unknown-Aware Deep Generative/Discriminative Hybrid Defect Detector for PCB Soldering Inspection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yoav Wald, Suchi Saria |
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Caspar Oesterheld, Johannes Treutlein, Emery Cooper, Rubi Hudson |
Incentivizing honest performative predictions with proper scoring rules. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen |
Scalable nonparametric Bayesian learning for dynamic velocity fields. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zai Shi, Jian Tan, Feifei Li 0001 |
A Bayesian approach for bandit online optimization with switching cost. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen |
On the role of model uncertainties in Bayesian optimisation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni |
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Claire Donnat, Sowon Jeong |
Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luca Schmid, Joshua Brenk, Laurent Schmalen |
Local Message Passing on Frustrated Systems. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chris Junchi Li, Michael I. Jordan |
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Saurabh Mathur 0002, Vibhav Gogate, Sriraam Natarajan |
Knowledge Intensive Learning of Cutset Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hang Zhang, Ping Li 0001 |
Greed is good: correspondence recovery for unlabeled linear regression. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin |
Robust statistical comparison of random variables with locally varying scale of measurement. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh |
Adaptive Conditional Quantile Neural Processes. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui |
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Mei, Alexander Moreno, Luke Walters |
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser, Lena Krieg, Malin Rau |
Inference of a rumor's source in the independent cascade model. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gathika Ratnayaka, Qing Wang 0002, Yang Li |
Contrastive learning for supervised graph matching. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hanyu Peng, Guanhua Fang, Ping Li 0001 |
Copula for Instance-wise Feature Selection and Rank. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang 0002 |
Multi-view graph contrastive learning for solving vehicle routing problems. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Jahn, Matthias Scheutz |
Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen 0001 |
Fairness-aware class imbalanced learning on multiple subgroups. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nithia Vijayan, Prashanth L. A. |
A policy gradient approach for optimization of smooth risk measures. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata |
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthias Bitzer, Mona Meister, Christoph Zimmer |
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dravyansh Sharma, Maxwell Jones |
Efficiently learning the graph for semi-supervised learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
Incentivising Diffusion while Preserving Differential Privacy. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Philip A. Boeken, Noud de Kroon, Mathijs de Jong, Joris M. Mooij, Onno Zoeter |
Correcting for selection bias and missing response in regression using privileged information. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Guanyu Nie, Yanhui Zhu, Yididiya Y. Nadew, Samik Basu 0001, A. Pavan 0001, Christopher John Quinn |
Size-constrained k-submodular maximization in near-linear time. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava 0001 |
Conditional abstraction trees for sample-efficient reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan |
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan |
Copula-based deep survival models for dependent censoring. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes |
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sushirdeep Narayana, Ian A. Kash |
Keep-Alive Caching for the Hawkes process. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alberto Maria Metelli, Samuele Meta, Marcello Restelli |
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pedro Cisneros-Velarde, Sanmi Koyejo |
Finite-sample guarantees for Nash Q-learning with linear function approximation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kishalay Das, Pawan Goyal 0002, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly |
CrysMMNet: Multimodal Representation for Crystal Property Prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan 0006, Jana Doppa, Brian Jones |
Probabilistically robust conformal prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly |
Interpretable differencing of machine learning models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Purcell, Yang Li, Kee Siong Ng |
Split, count, and share: a differentially private set intersection cardinality estimation protocol. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cheng Cui, Saeid Amiri, Yan Ding 0002, Xingyue Zhan, Shiqi Zhang 0001 |
Learning to reason about contextual knowledge for planning under uncertainty. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bingshan Hu, Tianyue H. Zhang, Nidhi Hegde 0001, Mark Schmidt 0001 |
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe |
Multi-modal differentiable unsupervised feature selection. |
UAI |
2023 |
DBLP BibTeX RDF |
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| 1 | Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths 0001 |
On the informativeness of supervision signals. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou |
Towards better certified segmentation via diffusion models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yanqi Dai, Nanyi Fei, Zhiwu Lu 0001 |
Improvable Gap Balancing for Multi-Task Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
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| 1 | Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao 0001, Qibin Wu, Jun Zhu 0001 |
A constrained Bayesian approach to out-of-distribution prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kevin Christian Wibisono, Yixin Wang |
Bidirectional Attention as a Mixture of Continuous Word Experts. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Florian Kalinke, Zoltán Szabó |
Nyström M-Hilbert-Schmidt independence criterion. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuheng Liu, Xiyue Huang, Pavlos Protopapas |
Residual-based error bound for physics-informed neural networks. |
UAI |
2023 |
DBLP BibTeX RDF |
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