| 2020 | Learnable Bernoulli Dropout for Bayesian Deep Learning. | Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian |
| 2020 | Corruption-Tolerant Gaussian Process Bandit Optimization. | Ilija Bogunovic, Andreas Krause, Jonathan Scarlett |
| 2020 | Adversarial Robustness Guarantees for Classification with Gaussian Processes. | Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts |
| 2020 | Statistical and Computational Rates in Graph Logistic Regression. | Quentin Berthet, Nicolai Baldin |
| 2020 | Ordering-Based Causal Structure Learning in the Presence of Latent Variables. | Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler |
| 2020 | Non-exchangeable feature allocation models with sublinear growth of the feature sizes. | Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh |
| 2020 | Minimax Bounds for Structured Prediction Based on Factor Graphs. | Kevin Bello, Asish Ghoshal, Jean Honorio |
| 2020 | Private Protocols for U-Statistics in the Local Model and Beyond. | James Bell, Aurlien Bellet, Adri Gascn, Tejas Kulkarni |
| 2020 | Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems. | Osbert Bastani |
| 2020 | RelatIF: Identifying Explanatory Training Samples via Relative Influence. | Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite |
| 2020 | Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification. | Han Bao, Masashi Sugiyama |
| 2020 | Hypothesis Testing Interpretations and Renyi Differential Privacy. | Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato |
| 2020 | Adversarial Risk Bounds through Sparsity based Compression. | Emilio Rafael Balda, Niklas Koep, Arash Behboodi, Rudolf Mathar |
| 2020 | How To Backdoor Federated Learning. | Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov |
| 2020 | Accelerating Smooth Games by Manipulating Spectral Shapes. | Wass Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel |
| 2020 | A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. | Wass Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel |
| 2020 | Equalized odds postprocessing under imperfect group information. | Pranjal Awasthi, Matthus Kleindessner, Jamie Morgenstern |
| 2020 | Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. | M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2020 | Multi-attribute Bayesian optimization with interactive preference learning. | Raul Astudillo, Peter I. Frazier |
| 2020 | Naive Feature Selection: Sparsity in Naive Bayes. | Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui |
| 2020 | An approximate KLD based experimental design for models with intractable likelihoods. | Ziqiao Ao, Jinglai Li |
| 2020 | On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge. | Bryan Andrews |
| 2020 | A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms. | Philip Amortila, Doina Precup, Prakash Panangaden, Marc G. Bellemare |
| 2020 | Derivative-Free & Order-Robust Optimisation. | Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko |
| 2020 | Understanding the Effects of Batching in Online Active Learning. | Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh |