| 2021 | Fair for All: Best-effort Fairness Guarantees for Classification. | Anilesh Kollagunta Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala |
| 2021 | Tractable contextual bandits beyond realizability. | Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey |
| 2021 | Revisiting Projection-free Online Learning: the Strongly Convex Case. | Ben Kretzu, Dan Garber |
| 2021 | A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! | Dmitry Kovalev, Anastasia Koloskova, Martin Jaggi, Peter Richtrik, Sebastian U. Stich |
| 2021 | Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT. | Antti Koskela, Joonas Jlk, Lukas Prediger, Antti Honkela |
| 2021 | Nonparametric Variable Screening with Optimal Decision Stumps. | Jason M. Klusowski, Peter M. Tian |
| 2021 | Sharp Analysis of a Simple Model for Random Forests. | Jason M. Klusowski |
| 2021 | Causal Autoregressive Flows. | Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvrinen |
| 2021 | Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry. | Qadeer Khan, Patrick Wenzel, Daniel Cremers |
| 2021 | Projection-Free Optimization on Uniformly Convex Sets. | Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta |
| 2021 | Online Active Model Selection for Pre-trained Classifiers. | Mohammad Reza Karimi, Nezihe Merve Grel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause |
| 2021 | Does Invariant Risk Minimization Capture Invariance? | Pritish Kamath, Akilesh Tangella, Danica J. Sutherland, Nathan Srebro |
| 2021 | Graph Gamma Process Linear Dynamical Systems. | Rahi Kalantari, Mingyuan Zhou |
| 2021 | Abstract Value Iteration for Hierarchical Reinforcement Learning. | Kishor Jothimurugan, Osbert Bastani, Rajeev Alur |
| 2021 | Learning the Truth From Only One Side of the Story. | Heinrich Jiang, Qijia Jiang, Aldo Pacchiano |
| 2021 | Learning to Defend by Learning to Attack. | Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao |
| 2021 | On the Consistency of Metric and Non-Metric K-Medoids. | He Jiang, Ery Arias-Castro |
| 2021 | Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. | Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath |
| 2021 | Scalable Gaussian Process Variational Autoencoders. | Metod Jazbec, Matthew Ashman, Vincent Fortuin, Michael Pearce, Stephan Mandt, Gunnar Rtsch |
| 2021 | Improving Classifier Confidence using Lossy Label-Invariant Transformations. | Sooyong Jang, Insup Lee, James Weimer |
| 2021 | Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. | Priyank Jaini, Didrik Nielsen, Max Welling |
| 2021 | SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. | Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takc |
| 2021 | Approximate Data Deletion from Machine Learning Models. | Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou |
| 2021 | Mean-Variance Analysis in Bayesian Optimization under Uncertainty. | Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi |
| 2021 | Improving predictions of Bayesian neural nets via local linearization. | Alexander Immer, Maciej Korzepa, Matthias Bauer |