| 2021 | No-regret learning with high-probability in adversarial Markov decision processes. | Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu |
| 2021 | Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. | Renato Lui Geh, Denis Deratani Mau |
| 2021 | Correlated weights in infinite limits of deep convolutional neural networks. | Adri Garriga-Alonso, Mark van der Wilk |
| 2021 | Learning and certification under instance-targeted poisoning. | Ji Gao, Amin Karbasi, Mohammad Mahmoody |
| 2021 | Contrastive prototype learning with augmented embeddings for few-shot learning. | Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang |
| 2021 | Generalized parametric path problems. | Kshitij Gajjar, Girish Varma, Prerona Chatterjee, Jaikumar Radhakrishnan |
| 2021 | Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables. | Noam Finkelstein, Beata Zjawin, Elie Wolfe, Ilya Shpitser, Robert W. Spekkens |
| 2021 | Partial Identifiability in Discrete Data with Measurement Error. | Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser |
| 2021 | On the effects of quantisation on model uncertainty in Bayesian neural networks. | Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues |
| 2021 | Non-PSD matrix sketching with applications to regression and optimization. | Zhili Feng, Fred Roosta, David P. Woodruff |
| 2021 | Lifted reasoning meets weighted model integration. | Jonathan Feldstein, Vaishak Belle |
| 2021 | Bayesian streaming sparse Tucker decomposition. | Shikai Fang, Robert M. Kirby, Shandian Zhe |
| 2021 | Efficient greedy coordinate descent via variable partitioning. | Huang Fang, Guanhua Fang, Tan Yu, Ping Li |
| 2021 | Dependency in DAG models with hidden variables. | Robin J. Evans |
| 2021 | Towards robust episodic meta-learning. | Beyza Ermis, Giovanni Zappella, Cdric Archambeau |
| 2021 | High-dimensional Bayesian optimization with sparse axis-aligned subspaces. | David Eriksson, Martin Jankowiak |
| 2021 | When is particle filtering efficient for planning in partially observed linear dynamical systems? | Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu |
| 2021 | Defending SVMs against poisoning attacks: the hardness and DBSCAN approach. | Hu Ding, Fan Yang, Jiawei Huang |
| 2021 | XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty. | Fan Ding, Yexiang Xue |
| 2021 | PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. | Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue |
| 2021 | Weighted model counting with conditional weights for Bayesian networks. | Paulius Dilkas, Vaishak Belle |
| 2021 | Thompson sampling for Markov games with piecewise stationary opponent policies. | Anthony DiGiovanni, Ambuj Tewari |
| 2021 | A heuristic for statistical seriation. | Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi |
| 2021 | SDM-Net: A simple and effective model for generalized zero-shot learning. | Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava |
| 2021 | Minimax sample complexity for turn-based stochastic game. | Qiwen Cui, Lin F. Yang |