| 2020 | Robust contrastive learning and nonlinear ICA in the presence of outliers. | Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvrinen |
| 2020 | Robust modal regression with direct gradient approximation of modal regression risk. | Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori |
| 2020 | Identification and Estimation of Causal Effects Defined by Shift Interventions. | Numair Sani, Jaron J. R. Lee, Ilya Shpitser |
| 2020 | Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. | Trik S. Salem, Helge Langseth, Heri Ramampiaro |
| 2020 | Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders. | Sorawit Saengkyongam, Ricardo Silva |
| 2020 | Anchored Causal Inference in the Presence of Measurement Error. | Basil Saeed, Anastasiya Belyaeva, Yuhao Wang, Caroline Uhler |
| 2020 | Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets. | Jakob Runge |
| 2020 | TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. | Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein |
| 2020 | OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. | Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg |
| 2020 | Identifying causal effects in maximally oriented partially directed acyclic graphs. | Emilija Perkovic |
| 2020 | On Counterfactual Explanations under Predictive Multiplicity. | Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2020 | Streaming Nonlinear Bayesian Tensor Decomposition. | Zhimeng Pan, Zheng Wang, Shandian Zhe |
| 2020 | Non Parametric Graph Learning for Bayesian Graph Neural Networks. | Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates |
| 2020 | Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models. | Zhijian Ou, Yunfu Song |
| 2020 | PAC-Bayesian Contrastive Unsupervised Representation Learning. | Kento Nozawa, Pascal Germain, Benjamin Guedj |
| 2020 | Dueling Posterior Sampling for Preference-Based Reinforcement Learning. | Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick |
| 2020 | What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. | Laura Niss, Ambuj Tewari |
| 2020 | Robust Spatial-Temporal Incident Prediction. | Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik |
| 2020 | Kernel Conditional Moment Test via Maximum Moment Restriction. | Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kbler |
| 2020 | Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. | Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2020 | Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles. | Joris M. Mooij, Tom Claassen |
| 2020 | MaskAAE: Latent space optimization for Adversarial Auto-Encoders. | Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P. |
| 2020 | C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. | Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P. |
| 2020 | Popularity Agnostic Evaluation of Knowledge Graph Embeddings. | Aisha Mohamed, Shameem Puthiya Parambath, Zoi Kaoudi, Ashraf Aboulnaga |
| 2020 | Causal screening in dynamical systems. | Sren Wengel Mogensen |