| 2022 | A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. | Yan Shuo Tan, Abhineet Agarwal, Bin Yu |
| 2022 | GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures. | Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau |
| 2022 | Sobolev Norm Learning Rates for Conditional Mean Embeddings. | Prem Talwai, Ali Shameli, David Simchi-Levi |
| 2022 | Fixed Support Tree-Sliced Wasserstein Barycenter. | Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada |
| 2022 | Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines. | Souhaib Ben Taieb |
| 2022 | Resampling Base Distributions of Normalizing Flows. | Vincent Stimper, Bernhard Schlkopf, Jos Miguel Hernndez-Lobato |
| 2022 | Measuring the robustness of Gaussian processes to kernel choice. | William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick |
| 2022 | Finding Nearly Everything within Random Binary Networks. | Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos |
| 2022 | Parallel MCMC Without Embarrassing Failures. | Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi |
| 2022 | GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. | Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schlkopf |
| 2022 | Convergence of online k-means. | Geelon So, Gaurav Mahajan, Sanjoy Dasgupta |
| 2022 | On Distributionally Robust Optimization and Data Rebalancing. | Agnieszka Slowik, Lon Bottou |
| 2022 | LIMESegment: Meaningful, Realistic Time Series Explanations. | Torty Sivill, Peter A. Flach |
| 2022 | On the Interplay between Information Loss and Operation Loss in Representations for Classification. | Jorge Silva, Felipe A. Tobar |
| 2022 | Cross-Loss Influence Functions to Explain Deep Network Representations. | Andrew Silva, Rohit Chopra, Matthew C. Gombolay |
| 2022 | Finding Dynamics Preserving Adversarial Winning Tickets. | Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang |
| 2022 | On the Assumptions of Synthetic Control Methods. | Claudia Shi, Dhanya Sridhar, Vishal Misra, David M. Blei |
| 2022 | TD-GEN: Graph Generation Using Tree Decomposition. | Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori |
| 2022 | Multi-armed Bandit Algorithm against Strategic Replication. | Suho Shin, Seungjoon Lee, Jungseul Ok |
| 2022 | A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints. | Zai Shi, Atilla Eryilmaz |
| 2022 | Federated Functional Gradient Boosting. | Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi |
| 2022 | An Unsupervised Hunt for Gravitational Lenses. | Stephen Sheng, Keerthi Vasan G. C, Chi Po P. Choi, James Sharpnack, Tucker Jones |
| 2022 | Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. | Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja |
| 2022 | Optimal Compression of Locally Differentially Private Mechanisms. | Abhin Shah, Wei-Ning Chen, Johannes Ball, Peter Kairouz, Lucas Theis |
| 2022 | Learning and Generalization in Overparameterized Normalizing Flows. | Kulin Shah, Amit Deshpande, Navin Goyal |