| 2023 | Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation. | Shinsaku Sakaue, Taihei Oki |
| 2023 | Dueling RL: Reinforcement Learning with Trajectory Preferences. | Aadirupa Saha, Aldo Pacchiano, Jonathan Lee |
| 2023 | Improved Robust Algorithms for Learning with Discriminative Feature Feedback. | Sivan Sabato |
| 2023 | No time to waste: practical statistical contact tracing with few low-bit messages. | Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling |
| 2023 | Cooperative Inverse Decision Theory for Uncertain Preferences. | Zachary Robertson, Hantao Zhang, Sanmi Koyejo |
| 2023 | Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. | Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power |
| 2023 | Differentially Private Synthetic Control. | Saeyoung Rho, Rachel Cummings, Vishal Misra |
| 2023 | Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. | Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang |
| 2023 | Coherent Probabilistic Forecasting of Temporal Hierarchies. | Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider |
| 2023 | Bayesian Hierarchical Models for Counterfactual Estimation. | Natraj Raman, Daniele Magazzeni, Sameena Shah |
| 2023 | Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach. | Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen |
| 2023 | Noise-Aware Statistical Inference with Differentially Private Synthetic Data. | Ossi Ris, Joonas Jlk, Samuel Kaski, Antti Honkela |
| 2023 | Fast Feature Selection with Fairness Constraints. | Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney |
| 2023 | Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity. | Arber Qoku, Florian Buettner |
| 2023 | Iterative Teaching by Data Hallucination. | Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schlkopf |
| 2023 | T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. | Yuchao Qin, Mihaela van der Schaar, Changhee Lee |
| 2023 | PF | Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt |
| 2023 | An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization. | Lianke Qin, Zhao Song, Lichen Zhang, Danyang Zhuo |
| 2023 | Surveillance Evasion Through Bayesian Reinforcement Learning. | Dongping Qi, David Bindel, Alexander Vladimirsky |
| 2023 | Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity. | Xun Qian, Hanze Dong, Tong Zhang, Peter Richtrik |
| 2023 | Preferential Subsampling for Stochastic Gradient Langevin Dynamics. | Srshti Putcha, Christopher Nemeth, Paul Fearnhead |
| 2023 | AUC-based Selective Classification. | Andrea Pugnana, Salvatore Ruggieri |
| 2023 | A Contrastive Approach to Online Change Point Detection. | Nikita Puchkin, Valeriia Shcherbakova |
| 2023 | Distance-to-Set Priors and Constrained Bayesian Inference. | Rick Presman, Jason Xu |
| 2023 | Ideal Abstractions for Decision-Focused Learning. | Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz |