| 2021 | Markov equivalence of max-linear Bayesian networks. | Carlos Amndola, Benjamin Hollering, Seth Sullivant, Ngoc Tran |
| 2021 | Sparse linear networks with a fixed butterfly structure: theory and practice. | Nir Ailon, Omer Leibovitch, Vineet Nair |
| 2021 | Conditionally independent data generation. | Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu |
| 2021 | Known unknowns: Learning novel concepts using reasoning-by-elimination. | Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik |
| 2021 | Towards a unified framework for fair and stable graph representation learning. | Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik |
| 2021 | Communication efficient parallel reinforcement learning. | Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal |
| 2021 | Possibilistic preference elicitation by minimax regret. | Loc Adam, Sbastien Destercke |
| 2021 | Statistical mechanical analysis of neural network pruning. | Rupam Acharyya, Ankani Chattoraj, Boyu Zhang, Shouman Das, Daniel Stefankovic |
| 2021 | BayLIME: Bayesian local interpretable model-agnostic explanations. | Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn |
| 2020 | Provably Efficient Third-Person Imitation from Offline Observation. | Aaron Zweig, Joan Bruna |
| 2020 | Slice Sampling for General Completely Random Measures. | Peiyuan Zhu, Alexandre Bouchard-Ct, Trevor Campbell |
| 2020 | Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. | Jingge Zhu |
| 2020 | Robust Collective Classification against Structural Attacks. | Kai Zhou, Yevgeniy Vorobeychik |
| 2020 | Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. | Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng |
| 2020 | A Simple Online Algorithm for Competing with Dynamic Comparators. | Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2020 | On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. | Honghua Zhang, Steven Holtzen, Guy Van den Broeck |
| 2020 | Selling Data at an Auction under Privacy Constraints. | Mengxiao Zhang, Fernando Beltrn, Jiamou Liu |
| 2020 | Unknown mixing times in apprenticeship and reinforcement learning. | Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2020 | EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices. | Jun Ho Yoon, Seyoung Kim |
| 2020 | The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks. | Sikun Yang, Heinz Koeppl |
| 2020 | Model-Augmented Conditional Mutual Information Estimation for Feature Selection. | Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum |
| 2020 | Zeroth Order Non-convex optimization with Dueling-Choice Bandits. | Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski |
| 2020 | A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. | Zhiqiang Xu, Ping Li |
| 2020 | Adversarial Learning for 3D Matching. | Wei Xing, Brian D. Ziebart |
| 2020 | Distortion estimates for approximate Bayesian inference. | Hanwen Xing, Geoff Nicholls, Jeong Lee |