| 2019 | Size of Interventional Markov Equivalence Classes in random DAG models. | Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler |
| 2019 | Top Feasible Arm Identification. | Julian Katz-Samuels, Clayton Scott |
| 2019 | Conservative Exploration using Interleaving. | Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru |
| 2019 | The non-parametric bootstrap and spectral analysis in moderate and high-dimension. | Noureddine El Karoui, Elizabeth Purdom |
| 2019 | Efficient Greedy Coordinate Descent for Composite Problems. | Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi |
| 2019 | Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. | Nikos Kargas, Nicholas D. Sidiropoulos |
| 2019 | Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. | Ryo Karakida, Shotaro Akaho, Shun-ichi Amari |
| 2019 | Feature subset selection for the multinomial logit model via mixed-integer optimization. | Shunsuke Kamiya, Ryuhei Miyashiro, Yuichi Takano |
| 2019 | Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding. | Nathan Kallus, Xiaojie Mao, Angela Zhou |
| 2019 | Analysis of Network Lasso for Semi-Supervised Regression. | Alexander Jung, Natalia Vesselinova |
| 2019 | Support and Invertibility in Domain-Invariant Representations. | Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath |
| 2019 | Robustness Guarantees for Density Clustering. | Heinrich Jiang, Jennifer Jang, Ofir Nachum |
| 2019 | Towards Efficient Data Valuation Based on the Shapley Value. | Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Grel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos |
| 2019 | Pathwise Derivatives for Multivariate Distributions. | Martin Jankowiak, Theofanis Karaletsos |
| 2019 | Minimum Volume Topic Modeling. | Byoungwook Jang, Alfred O. Hero III |
| 2019 | Wasserstein regularization for sparse multi-task regression. | Hicham Janati, Marco Cuturi, Alexandre Gramfort |
| 2019 | Consistent Online Optimization: Convex and Submodular. | Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi, Sergei Vassilvitskii |
| 2019 | A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. | Rishabh K. Iyer, Jeffrey A. Bilmes |
| 2019 | Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. | Rishabh K. Iyer, Jeffrey A. Bilmes |
| 2019 | Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level. | Hiroshi Inoue |
| 2019 | Deep Neural Networks Learn Non-Smooth Functions Effectively. | Masaaki Imaizumi, Kenji Fukumizu |
| 2019 | Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning. | Aapo Hyvrinen, Hiroaki Sasaki, Richard E. Turner |
| 2019 | Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. | Alihan Hyk, Cem Tekin |
| 2019 | Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees. | Jonathan H. Huggins, Trevor Campbell, Mikolaj J. Kasprzak, Tamara Broderick |
| 2019 | Correspondence Analysis Using Neural Networks. | Hsiang Hsu, Salman Salamatian, Flvio P. Calmon |