| 2021 | Robust principal component analysis for generalized multi-view models. | Frank Nussbaum, Joachim Giesen |
| 2021 | Tensor-train density estimation. | Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets |
| 2021 | Trusted-maximizers entropy search for efficient Bayesian optimization. | Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2021 | Learning to learn with Gaussian processes. | Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2021 | Most: multi-source domain adaptation via optimal transport for student-teacher learning. | Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung |
| 2021 | Probabilistic task modelling for meta-learning. | Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2021 | Generative Archimedean copulas. | Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh |
| 2021 | Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. | Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh |
| 2021 | A variational approximation for analyzing the dynamics of panel data. | Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh |
| 2021 | Global explanations with decision rules: a co-learning approach. | Graldin Nanfack, Paul Temple, Benot Frnay |
| 2021 | variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference. | Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David M. Blei, Itsik Pe'er |
| 2021 | FlexAE: flexibly learning latent priors for wasserstein auto-encoders. | Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh |
| 2021 | A unifying framework for observer-aware planning and its complexity. | Shuwa Miura, Shlomo Zilberstein |
| 2021 | The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. | Yifei Min, Lin Chen, Amin Karbasi |
| 2021 | Federated stochastic gradient Langevin dynamics. | Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski |
| 2021 | Random probabilistic circuits. | Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile |
| 2021 | q-Paths: Generalizing the geometric annealing path using power means. | Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood |
| 2021 | Nearest neighbor search under uncertainty. | Blake Mason, Ardhendu Tripathy, Robert Nowak |
| 2021 | A weaker faithfulness assumption based on triple interactions. | Alexander Marx, Arthur Gretton, Joris M. Mooij |
| 2021 | Neural markov logic networks. | Giuseppe Marra, Ondrej Kuzelka |
| 2021 | Deep kernels with probabilistic embeddings for small-data learning. | Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han |
| 2021 | Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. | Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu |
| 2021 | Causal additive models with unobserved variables. | Takashi Nicholas Maeda, Shohei Shimizu |
| 2021 | Variance-dependent best arm identification. | Pinyan Lu, Chao Tao, Xiaojin Zhang |
| 2021 | Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. | Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu |