| 2020 | A Characterization of Mean Squared Error for Estimator with Bagging. | Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot |
| 2020 | Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. | Grgoire Mialon, Julien Mairal, Alexandre d'Aspremont |
| 2020 | Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space. | Quentin Mrigot, Alex Delalande, Frdric Chazal |
| 2020 | Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. | Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt, Simon Lacoste-Julien |
| 2020 | Gaussianization Flows. | Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon |
| 2020 | A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players. | Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet |
| 2020 | Automatic Differentiation of Some First-Order Methods in Parametric Optimization. | Sheheryar Mehmood, Peter Ochs |
| 2020 | A Three Sample Hypothesis Test for Evaluating Generative Models. | Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta |
| 2020 | Formal Limitations on the Measurement of Mutual Information. | David McAllester, Karl Stratos |
| 2020 | Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. | Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney |
| 2020 | RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. | Prathamesh Mayekar, Himanshu Tyagi |
| 2020 | Support recovery and sup-norm convergence rates for sparse pivotal estimation. | Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon |
| 2020 | BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. | Kaspar Mrtens, Christopher Yau |
| 2020 | Neural Decomposition: Functional ANOVA with Variational Autoencoders. | Kaspar Mrtens, Christopher Yau |
| 2020 | Hyperbolic Manifold Regression. | Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco |
| 2020 | Learning in Gated Neural Networks. | Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath |
| 2020 | LdSM: Logarithm-depth Streaming Multi-label Decision Trees. | Maryam Majzoubi, Anna Choromanska |
| 2020 | Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data. | Mns Magnusson, Aki Vehtari, Johan Jonasson, Michael Riis Andersen |
| 2020 | RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders. | Takashi Nicholas Maeda, Shohei Shimizu |
| 2020 | Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization. | Xingchen Ma, Matthew B. Blaschko |
| 2020 | Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. | Nan Lu, Tianyi Zhang, Gang Niu, Masashi Sugiyama |
| 2020 | Interpretable Deep Gaussian Processes with Moments. | Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto |
| 2020 | Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. | Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis |
| 2020 | Accelerating Gradient Boosting Machines. | Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab S. Mirrokni |
| 2020 | Exploiting Categorical Structure Using Tree-Based Methods. | Brian Lucena |