| 2021 | Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints. | Robin Vogel, Aurlien Bellet, Stphan Clmenon |
| 2021 | Large Scale K-Median Clustering for Stable Clustering Instances. | Konstantin Voevodski |
| 2021 | Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. | Nina Vesseron, Ievgen Redko, Charlotte Laclau |
| 2021 | Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. | Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner |
| 2021 | Regularized ERM on random subspaces. | Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco |
| 2021 | Learning Shared Subgraphs in Ising Model Pairs. | Burak Varici, Saurabh Sihag, Ali Tajer |
| 2021 | Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. | Leena C. Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar |
| 2021 | Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. | Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe |
| 2021 | On Information Gain and Regret Bounds in Gaussian Process Bandits. | Sattar Vakili, Kia Khezeli, Victor Picheny |
| 2021 | Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. | Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar |
| 2021 | Differentially Private Analysis on Graph Streams. | Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora |
| 2021 | A Statistical Perspective on Coreset Density Estimation. | Paxton Turner, Jingbo Liu, Philippe Rigollet |
| 2021 | Efficient Interpolation of Density Estimators. | Paxton Turner, Jingbo Liu, Philippe Rigollet |
| 2021 | Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function. | Ioannis C. Tsaknakis, Mingyi Hong |
| 2021 | Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. | Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic |
| 2021 | Good Classifiers are Abundant in the Interpolating Regime. | Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney |
| 2021 | Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. | Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates |
| 2021 | Regret Minimization for Causal Inference on Large Treatment Space. | Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima |
| 2021 | Approximating Lipschitz continuous functions with GroupSort neural networks. | Ugo Tanielian, Grard Biau |
| 2021 | Robust Imitation Learning from Noisy Demonstrations. | Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama |
| 2021 | Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning. | Yunhao Tang, Alp Kucukelbir |
| 2021 | Linear Models are Robust Optimal Under Strategic Behavior. | Wei Tang, Chien-Ju Ho, Yang Liu |
| 2021 | Improved Exploration in Factored Average-Reward MDPs. | Mohammad Sadegh Talebi, Anders Jonsson, Odalric Maillard |
| 2021 | A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits. | Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2021 | On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity. | Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier |