| 2020 | Prophets, Secretaries, and Maximizing the Probability of Choosing the Best. | Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher |
| 2020 | Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models. | Tolga Ergen, Mert Pilanci |
| 2020 | Fast and Bayes-consistent nearest neighbors. | Klim Efremenko, Aryeh Kontorovich, Moshe Noivirt |
| 2020 | Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data. | Simo Eduardo, Alfredo Nazbal, Christopher K. I. Williams, Charles Sutton |
| 2020 | Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. | Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu |
| 2020 | Bayesian Image Classification with Deep Convolutional Gaussian Processes. | Vincent Dutordoir, Mark van der Wilk, Artem Artemev, James Hensman |
| 2020 | A Diversity-aware Model for Majority Vote Ensemble Accuracy. | Robert John Durrant, Nick Jin Sean Lim |
| 2020 | Distributed, partially collapsed MCMC for Bayesian Nonparametrics. | Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson |
| 2020 | Invertible Generative Modeling using Linear Rational Splines. | Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2020 | Precision-Recall Curves Using Information Divergence Frontiers. | Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly |
| 2020 | Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods. | Yi Ding, Panos Toulis |
| 2020 | Locally Accelerated Conditional Gradients. | Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta |
| 2020 | Bayesian experimental design using regularized determinantal point processes. | Michal Derezinski, Feynman T. Liang, Michael W. Mahoney |
| 2020 | Logistic regression with peer-group effects via inference in higher-order Ising models. | Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas |
| 2020 | Robust Learning from Discriminative Feature Feedback. | Sanjoy Dasgupta, Sivan Sabato |
| 2020 | Modular Block-diagonal Curvature Approximations for Feedforward Architectures. | Felix Dangel, Stefan Harmeling, Philipp Hennig |
| 2020 | Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. | Niccol Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin |
| 2020 | A nonasymptotic law of iterated logarithm for general M-estimators. | Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel |
| 2020 | Rk-means: Fast Clustering for Relational Data. | Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich |
| 2020 | Hermitian matrices for clustering directed graphs: insights and applications. | Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti |
| 2020 | On Pruning for Score-Based Bayesian Network Structure Learning. | Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos |
| 2020 | Data Generation for Neural Programming by Example. | Judith Clymo, Adri Gascn, Brooks Paige, Nathanal Fijalkow, Haik Manukian |
| 2020 | Distributionally Robust Formulation and Model Selection for the Graphical Lasso. | Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh |
| 2020 | Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes. | Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang |
| 2020 | Black Box Submodular Maximization: Discrete and Continuous Settings. | Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi |