| 2022 | Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning. | Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low |
| 2022 | SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums. | Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower |
| 2022 | A Single-Timescale Method for Stochastic Bilevel Optimization. | Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin |
| 2022 | Distributed Sparse Multicategory Discriminant Analysis. | Hengchao Chen, Qiang Sun |
| 2022 | Relational Neural Markov Random Fields. | Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi |
| 2022 | Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation. | Zaiwei Chen, Siva Theja Maguluri |
| 2022 | Policy Learning for Optimal Individualized Dose Intervals. | Guanhua Chen, Xiaomao Li, Menggang Yu |
| 2022 | Debiasing Samples from Online Learning Using Bootstrap. | Ningyuan Chen, Xuefeng Gao, Yi Xiong |
| 2022 | Generalized Group Testing. | Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou |
| 2022 | Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? | Lisha Chen, Tianyi Chen |
| 2022 | Learning Inconsistent Preferences with Gaussian Processes. | Siu Lun Chau, Javier Gonzlez, Dino Sejdinovic |
| 2022 | Mean Nystrm Embeddings for Adaptive Compressive Learning. | Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. | Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot |
| 2022 | A New Notion of Individually Fair Clustering: α-Equitable k-Center. | Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas |
| 2022 | Regret, stability & fairness in matching markets with bandit learners. | Sarah Huiyi Cen, Devavrat Shah |
| 2022 | Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. | Alejandro Catalina, Paul-Christian Brkner, Aki Vehtari |
| 2022 | Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown. | Adrian Rivera Cardoso, Ryan Rogers |
| 2022 | Provable Lifelong Learning of Representations. | Xinyuan Cao, Weiyang Liu, Santosh S. Vempala |
| 2022 | Variational Autoencoders: A Harmonic Perspective. | Alexander Camuto, Matthew Willetts |
| 2022 | Proximal Optimal Transport Modeling of Population Dynamics. | Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi |
| 2022 | Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. | Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues |
| 2022 | Outcome Assumptions and Duality Theory for Balancing Weights. | David A. Bruns-Smith, Avi Feller |
| 2022 | Modelling Non-Smooth Signals with Complex Spectral Structure. | Wessel P. Bruinsma, Martin Tegner, Richard E. Turner |
| 2022 | A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. | Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone |
| 2022 | Performative Prediction in a Stateful World. | Gavin Brown, Shlomi Hod, Iden Kalemaj |