| 2023 | Classification of Adolescents' Risky Behavior in Instant Messaging Conversations. | Jaromr Plhk, Ondrej Sotolr, Michaela Lebedkov, David Smahel |
| 2023 | Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. | Vincent Plassier, Eric Moulines, Alain Durmus |
| 2023 | Global-Local Regularization Via Distributional Robustness. | Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung |
| 2023 | Distill n' Explain: explaining graph neural networks using simple surrogates. | Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza |
| 2023 | On the Privacy Risks of Algorithmic Recourse. | Martin Pawelczyk, Himabindu Lakkaraju, Seth Neel |
| 2023 | Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence. | Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar |
| 2023 | Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. | Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup |
| 2023 | Scalable marked point processes for exchangeable and non-exchangeable event sequences. | Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas |
| 2023 | Optimal Algorithms for Latent Bandits with Cluster Structure. | Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain |
| 2023 | Learning with Partial Forgetting in Modern Hopfield Networks. | Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue |
| 2023 | Temporal Graph Neural Networks for Irregular Data. | Joel Oskarsson, Per Sidn, Fredrik Lindsten |
| 2023 | Explicit Regularization in Overparametrized Models via Noise Injection. | Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach |
| 2023 | Average case analysis of Lasso under ultra sparse conditions. | Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima |
| 2023 | Robust Linear Regression for General Feature Distribution. | Tom Norman, Nir Weinberger, Kfir Y. Levy |
| 2023 | SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. | Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Li, Mihaela van der Schaar |
| 2023 | Geometric Random Walk Graph Neural Networks via Implicit Layers. | Giannis Nikolentzos, Michalis Vazirgiannis |
| 2023 | Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. | Giannis Nikolentzos, Michalis Vazirgiannis |
| 2023 | Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. | Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis |
| 2023 | Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. | Andi Nika, Adish Singla, Goran Radanovic |
| 2023 | Optimal and Private Learning from Human Response Data. | Duc Nguyen, Anderson Ye Zhang |
| 2023 | Active Membership Inference Attack under Local Differential Privacy in Federated Learning. | Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai |
| 2023 | Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. | Quan Nguyen, Roman Garnett |
| 2023 | Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. | Minh-Toan Nguyen, Romain Couillet |
| 2023 | Feasible Recourse Plan via Diverse Interpolation. | Duy Nguyen, Ngoc Bui, Viet Anh Nguyen |
| 2023 | Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting. | Helmuth J. Naumer, Farzad Kamalabadi |