| 2022 | Causal discovery under a confounder blanket. | David S. Watson, Ricardo Silva |
| 2022 | Generalized Bayesian quadrature with spectral kernels. | Houston Warren, Rafael Oliveira, Fabio T. Ramos |
| 2022 | Detecting textual adversarial examples through randomized substitution and vote. | Xiaosen Wang, Yifeng Xiong, Kun He |
| 2022 | Meta-learning without data via Wasserstein distributionally-robust model fusion. | Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao |
| 2022 | Toward learning human-aligned cross-domain robust models by countering misaligned features. | Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing |
| 2022 | ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. | Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi |
| 2022 | Bias aware probabilistic Boolean matrix factorization. | Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao |
| 2022 | Bayesian federated estimation of causal effects from observational data. | Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong |
| 2022 | Intervention target estimation in the presence of latent variables. | Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer |
| 2022 | Causal forecasting: generalization bounds for autoregressive models. | Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing |
| 2022 | Towards unsupervised open world semantic segmentation. | Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk |
| 2022 | Multi-source domain adaptation via weighted joint distributions optimal transport. | Rosanna Turrisi, Rmi Flamary, Alain Rakotomamonjy, Massimiliano Pontil |
| 2022 | Learning linear non-Gaussian polytree models. | Daniele Tramontano, Anthea Monod, Mathias Drton |
| 2022 | Efficient inference for dynamic topic modeling with large vocabularies. | Federico Tomasi, Mounia Lalmas, Zhenwen Dai |
| 2022 | Semi-supervised novelty detection using ensembles with regularized disagreement. | Alexandru Tifrea, Eric Stavarache, Fanny Yang |
| 2022 | Contrastive latent variable models for neural text generation. | Zhiyang Teng, Chenhua Chen, Yan Zhang, Yue Zhang |
| 2022 | High-probability bounds for robust stochastic Frank-Wolfe algorithm. | Tongyi Tang, Krishna Balasubramanian, Thomas Chun Man Lee |
| 2022 | Marginal MAP estimation for inverse RL under occlusion with observer noise. | Prasanth Sengadu Suresh, Prashant Doshi |
| 2022 | A robustness test for estimating total effects with covariate adjustment. | Zehao Su, Leonard Henckel |
| 2022 | Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning. | Daiki Suehiro, Eiji Takimoto |
| 2022 | SMT-based weighted model integration with structure awareness. | Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani |
| 2022 | Mutual information based Bayesian graph neural network for few-shot learning. | Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li |
| 2022 | Fast inference and transfer of compositional task structures for few-shot task generalization. | Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee |
| 2022 | Enhanced adaptive optics control with image to image translation. | Jeffrey Smith, Jesse Cranney, Charles Gretton, Damien Gratadour |
| 2022 | VQ-Flows: Vector quantized local normalizing flows. | Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh |