| 2020 | Adaptive Discretization for Evaluation of Probabilistic Cost Functions. | Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong |
| 2020 | Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. | Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis |
| 2020 | Federated Heavy Hitters Discovery with Differential Privacy. | Wennan Zhu, Peter Kairouz, Brendan McMahan, Haicheng Sun, Wei Li |
| 2020 | Stochastic Recursive Variance-Reduced Cubic Regularization Methods. | Dongruo Zhou, Quanquan Gu |
| 2020 | Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization. | Dongruo Zhou, Yuan Cao, Quanquan Gu |
| 2020 | Learning Sparse Nonparametric DAGs. | Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing |
| 2020 | A Simple Approach for Non-stationary Linear Bandits. | Peng Zhao, Lijun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2020 | A Framework for Sample Efficient Interval Estimation with Control Variates. | Shengjia Zhao, Christopher Yeh, Stefano Ermon |
| 2020 | Persistence Enhanced Graph Neural Network. | Qi Zhao, Ze Ye, Chao Chen, Yusu Wang |
| 2020 | Bandit Convex Optimization in Non-stationary Environments. | Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou |
| 2020 | Variational Autoencoders for Sparse and Overdispersed Discrete Data. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou |
| 2020 | Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. | Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen |
| 2020 | One Sample Stochastic Frank-Wolfe. | Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2020 | Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. | Yao Zhang, Daniel Jarrett, Mihaela van der Schaar |
| 2020 | AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
| 2020 | Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. | Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi |
| 2020 | Nested-Wasserstein Self-Imitation Learning for Sequence Generation. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin |
| 2020 | Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. | Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans |
| 2020 | Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. | Yao Zhang, Alexis Bellot, Mihaela van der Schaar |
| 2020 | AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity. | Yibo Zeng, Fei Feng, Wotao Yin |
| 2020 | Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. | Valentina Zantedeschi, Aurlien Bellet, Marc Tommasi |
| 2020 | Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. | Andrea Zanette, David Brandfonbrener, Emma Brunskill, Matteo Pirotta, Alessandro Lazaric |
| 2020 | Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. | Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov, Ilya P. Razenshteyn |
| 2020 | Discrete Action On-Policy Learning with Action-Value Critic. | Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou |
| 2020 | Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. | Xubo Yue, Raed Al Kontar |