| 2023 | Learning good interventions in causal graphs via covering. | Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman |
| 2023 | Online Heavy-tailed Change-point detection. | Abishek Sankararaman, Balakrishnan Narayanaswamy |
| 2023 | Heteroskedastic Geospatial Tracking with Distributed Camera Networks. | Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin |
| 2023 | Is the volume of a credal set a good measure for epistemic uncertainty? | Yusuf Sale, Michele Caprio, Eyke Hllermeier |
| 2023 | Semi-supervised learning of partial differential operators and dynamical flows. | Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz |
| 2023 | Hallucinated adversarial control for conservative offline policy evaluation. | Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause |
| 2023 | Approximately Bayes-optimal pseudo-label selection. | Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin |
| 2023 | The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models. | Steffen Ridderbusch, Sina Ober-Blbaum, Paul Goulart |
| 2023 | Inference for probabilistic dependency graphs. | Oliver E. Richardson, Joseph Y. Halpern, Christopher De Sa |
| 2023 | Validation of composite systems by discrepancy propagation. | David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn |
| 2023 | Contrastive learning for supervised graph matching. | Gathika Ratnayaka, Qing Wang, Yang Li |
| 2023 | USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. | Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee |
| 2023 | Jana: Jointly amortized neural approximation of complex Bayesian models. | Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Kthe, Paul-Christian Brkner |
| 2023 | Split, count, and share: a differentially private set intersection cardinality estimation protocol. | Michael Purcell, Yang Li, Kee Siong Ng |
| 2023 | Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. | Pawel Piwek, Adam Klukowski, Tianyang Hu |
| 2023 | Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. | Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter |
| 2023 | Copula for Instance-wise Feature Selection and Rank. | Hanyu Peng, Guanhua Fang, Ping Li |
| 2023 | Stochastic Generative Flow Networks. | Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio |
| 2023 | Multi-View Independent Component Analysis with Shared and Individual Sources. | Teodora Pandeva, Patrick Forr |
| 2023 | Maximizing submodular functions under submodular constraints. | Madhavan R. Padmanabhan, Yanhui Zhu, Samik Basu, Aduri Pavan |
| 2023 | Baysian numerical integration with neural networks. | Katharina Ott, Michael Tiemann, Philipp Hennig, Franois-Xavier Briol |
| 2023 | Structure-aware robustness certificates for graph classification. | Pierre Osselin, Henry Kenlay, Xiaowen Dong |
| 2023 | Approximate Thompson Sampling via Epistemic Neural Networks. | Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy |
| 2023 | Graph classification Gaussian processes via spectral features. | Felix L. Opolka, Yin-Cong Zhi, Pietro Li, Xiaowen Dong |
| 2023 | Incentivizing honest performative predictions with proper scoring rules. | Caspar Oesterheld, Johannes Treutlein, Emery Cooper, Rubi Hudson |