| 2023 | BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation. | Valentin Bieri, Paul Streli, Berken Utku Demirel, Christian Holz |
| 2023 | Best arm identification in rare events. | Anirban Bhattacharjee, Sushant Vijayan, Sandeep Juneja |
| 2023 | Inference of a rumor's source in the independent cascade model. | Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser, Lena Krieg, Malin Rau |
| 2023 | Learning Choice Functions with Gaussian Processes. | Alessio Benavoli, Dario Azzimonti, Dario Piga |
| 2023 | Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. | Baptiste Bauvin, Ccile Capponi, Florence Clerc, Pascal Germain, Sokol Koo, Jacques Corbeil |
| 2023 | Do we become wiser with time? On causal equivalence with tiered background knowledge. | Christine W. Bang, Vanessa Didelez |
| 2023 | Neural tangent kernel at initialization: linear width suffices. | Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin |
| 2023 | Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. | Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni |
| 2023 | Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. | Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti |
| 2023 | Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. | Shuang Ao, Stefan Rueger, Advaith Siddharthan |
| 2023 | Robust Gaussian process regression with the trimmed marginal likelihood. | Daniel Andrade, Akiko Takeda |
| 2023 | Transfer learning for individual treatment effect estimation. | Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh |
| 2023 | FLASH: Automating federated learning using CASH. | Md. Ibrahim Ibne Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz |
| 2023 | A decoder suffices for query-adaptive variational inference. | Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth |
| 2023 | Bounding the optimal value function in compositional reinforcement learning. | Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni |
| 2023 | Guided Deep Kernel Learning. | Idan Achituve, Gal Chechik, Ethan Fetaya |
| 2023 | SubMix: Learning to Mix Graph Sampling Heuristics. | Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni |
| 2023 | Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rnyi Filter. | Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang |
| 2023 | Monte-Carlo Search for an Equilibrium in Dec-POMDPs. | Yang You, Vincent Thomas, Francis Colas, Olivier Buffet |
| 2023 | CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. | Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He |
| 2023 | Knowledge Intensive Learning of Cutset Networks. | Saurabh Mathur, Vibhav Gogate, Sriraam Natarajan |
| 2023 | A near-optimal high-probability swap-Regret upper bound for multi-agent bandits in unknown general-sum games. | Zhiming Huang, Jianping Pan |
| 2023 | Efficient Privacy-Preserving Stochastic Nonconvex Optimization. | Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu |
| 2022 | Causal inference with treatment measurement error: a nonparametric instrumental variable approach. | Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt J. Kusner, Ricardo Silva |
| 2022 | Information design for multiple independent and self-interested defenders: Work less, pay off more. | Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen |