| 2023 | Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings. | Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski |
| 2023 | Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited. | Jinyan Su, Changhong Zhao, Di Wang |
| 2023 | Solving multi-model MDPs by coordinate ascent and dynamic programming. | Xihong Su, Marek Petrik |
| 2023 | Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. | Dongfang Sun, Yingzhen Yang |
| 2023 | Meta-learning Control Variates: Variance Reduction with Limited Data. | Zhuo Sun, Chris J. Oates, Franois-Xavier Briol |
| 2023 | Pandering in a (flexible) representative democracy. | Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng |
| 2023 | On the informativeness of supervision signals. | Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths |
| 2023 | Fast Heterogeneous Federated Learning with Hybrid Client Selection. | Duanxiao Song, Guangyuan Shen, Dehong Gao, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou |
| 2023 | ViBid: Linear Vision Transformer with Bidirectional Normalization. | Jeonggeun Song, Heung-Chang Lee |
| 2023 | Aligned Diffusion Schrdinger Bridges. | Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, Mara Rodrguez Martnez, Andreas Krause, Charlotte Bunne |
| 2023 | Neural probabilistic logic programming in discrete-continuous domains. | Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt |
| 2023 | On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks. | Joar Skalse, Alessandro Abate |
| 2023 | Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. | Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan |
| 2023 | Learning Nonlinear Causal Effect via Kernel Anchor Regression. | Wenqi Shi, Wenkai Xu |
| 2023 | A Bayesian approach for bandit online optimization with switching cost. | Zai Shi, Jian Tan, Feifei Li |
| 2023 | Risk-limiting financial audits via weighted sampling without replacement. | Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas |
| 2023 | Efficiently learning the graph for semi-supervised learning. | Dravyansh Sharma, Maxwell Jones |
| 2023 | SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. | Vishal Sharma, Daman Arora, Mausam, Parag Singla |
| 2023 | Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs. | Vidya Sagar Sharma |
| 2023 | Implicit Training of Inference Network Models for Structured Prediction. | Shiv Shankar |
| 2023 | Mnemonist: Locating Model Parameters that Memorize Training Examples. | Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller |
| 2023 | MDPose: real-time multi-person pose estimation via mixture density model. | Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak |
| 2023 | Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective. | Mohamed El Amine Seddik, Malik Tiomoko, Alexis Decurninge, Maxim Panov, Maxime Guillaud |
| 2023 | Lifelong bandit optimization: no prior and no regret. | Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause |
| 2023 | Local Message Passing on Frustrated Systems. | Luca Schmid, Joshua Brenk, Laurent Schmalen |