| 2022 | p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. | Alexander Munteanu, Simon Omlor, Christian Peters |
| 2022 | Meta Learning MDPs with linear transition models. | Robert Mller, Aldo Pacchiano |
| 2022 | k-experts - Online Policies and Fundamental Limits. | Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha |
| 2022 | Chernoff Sampling for Active Testing and Extension to Active Regression. | Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak |
| 2022 | Data-splitting improves statistical performance in overparameterized regimes. | Nicole Mcke, Enrico Reiss, Jonas Rungenhagen, Markus Klein |
| 2022 | Towards an Understanding of Default Policies in Multitask Policy Optimization. | Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano |
| 2022 | PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime. | Warren R. Morningstar, Alex Alemi, Joshua V. Dillon |
| 2022 | Transductive Robust Learning Guarantees. | Omar Montasser, Steve Hanneke, Nathan Srebro |
| 2022 | Causal Effect Identification with Context-specific Independence Relations of Control Variables. | Ehsan Mokhtarian, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
| 2022 | Masked Training of Neural Networks with Partial Gradients. | Amirkeivan Mohtashami, Martin Jaggi, Sebastian U. Stich |
| 2022 | Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies. | Lenon Minorics, Ali Caner Trkmen, David Kernert, Patrick Blbaum, Laurent Callot, Dominik Janzing |
| 2022 | Differentially Private Regression with Unbounded Covariates. | Jason Milionis, Alkis Kalavasis, Dimitris A. Fotakis, Stratis Ioannidis |
| 2022 | Aligned Multi-Task Gaussian Process. | Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellstrm, Carl Henrik Ek, Neill D. F. Campbell |
| 2022 | Dimensionality Reduction and Prioritized Exploration for Policy Search. | Marius Memmel, Puze Liu, Davide Tateo, Jan Peters |
| 2022 | Obtaining Causal Information by Merging Datasets with MAXENT. | Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing |
| 2022 | Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. | Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | Harmless interpolation in regression and classification with structured features. | Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar |
| 2022 | Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. | Yingyi Ma, Xinhua Zhang |
| 2022 | Nearly Optimal Algorithms for Level Set Estimation. | Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak |
| 2022 | Variance Minimization in the Wasserstein Space for Invariant Causal Prediction. | Guillaume G. Martinet, Alexander Strzalkowski, Barbara E. Engelhardt |
| 2022 | Sampling from Arbitrary Functions via PSD Models. | Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi |
| 2022 | Improving Attribution Methods by Learning Submodular Functions. | Piyushi Manupriya, Tarun Ram Menta, Saketha Nath Jagarlapudi, Vineeth N. Balasubramanian |
| 2022 | Causally motivated shortcut removal using auxiliary labels. | Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour |
| 2022 | Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. | Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff |
| 2022 | A Complete Characterisation of ReLU-Invariant Distributions. | Jan MacDonald, Stephan Wldchen |