| 2020 | A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case. | Maxime Laborde, Adam M. Oberman |
| 2020 | EM Converges for a Mixture of Many Linear Regressions. | Jeongyeol Kwon, Constantine Caramanis |
| 2020 | Randomized Exploration in Generalized Linear Bandits. | Branislav Kveton, Manzil Zaheer, Csaba Szepesvri, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier |
| 2020 | Domain-Liftability of Relational Marginal Polytopes. | Ondrej Kuzelka, Yuyi Wang |
| 2020 | Active Community Detection with Maximal Expected Model Change. | Dan Kushnir, Benjamin Mirabelli |
| 2020 | Regularized Autoencoders via Relaxed Injective Probability Flow. | Abhishek Kumar, Ben Poole, Kevin Murphy |
| 2020 | Ivy: Instrumental Variable Synthesis for Causal Inference. | Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Crdova-Palomera, Jared Dunnmon, James Priest, Christopher R |
| 2020 | Gaussian Sketching yields a J-L Lemma in RKHS. | Samory Kpotufe, Bharath K. Sriperumbudur |
| 2020 | Computing Tight Differential Privacy Guarantees Using FFT. | Antti Koskela, Joonas Jlk, Antti Honkela |
| 2020 | Learning Rate Adaptation for Differentially Private Learning. | Antti Koskela, Antti Honkela |
| 2020 | ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations. | Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabs Pczos, Jeff Schneider, Eric P. Xing |
| 2020 | The Expressive Power of a Class of Normalizing Flow Models. | Zhifeng Kong, Kamalika Chaudhuri |
| 2020 | Sublinear Optimal Policy Value Estimation in Contextual Bandits. | Weihao Kong, Emma Brunskill, Gregory Valiant |
| 2020 | Adaptive, Distribution-Free Prediction Intervals for Deep Networks. | Danijel Kivaranovic, Kory D. Johnson, Hannes Leeb |
| 2020 | Simulator Calibration under Covariate Shift with Kernels. | Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki |
| 2020 | Distributionally Robust Bayesian Optimization. | Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause |
| 2020 | Two-sample Testing Using Deep Learning. | Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert |
| 2020 | Lipschitz Continuous Autoencoders in Application to Anomaly Detection. | Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik |
| 2020 | Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. | Cheolmin Kim, Diego Klabjan |
| 2020 | Multi-level Gaussian Graphical Models Conditional on Covariates. | Gi-Bum Kim, Seyoung Kim |
| 2020 | On casting importance weighted autoencoder to an EM algorithm to learn deep generative models. | Dongha Kim, Jaesung Hwang, Yongdai Kim |
| 2020 | Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. | Carolyn Kim, Mohsen Bayati |
| 2020 | Fair Decisions Despite Imperfect Predictions. | Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schlkopf, Krikamol Muandet, Isabel Valera |
| 2020 | Variational Autoencoders and Nonlinear ICA: A Unifying Framework. | Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvrinen |
| 2020 | Nonmyopic Gaussian Process Optimization with Macro-Actions. | Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low |