| 2024 | On Parameter Estimation in Deviated Gaussian Mixture of Experts. | Huy Nguyen, Khai Nguyen, Nhat Ho |
| 2024 | Near-optimal Per-Action Regret Bounds for Sleeping Bandits. | Quan M. Nguyen, Nishant A. Mehta |
| 2024 | From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. | Tuan Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura, Tan Minh Nguyen |
| 2024 | Confident Feature Ranking. | Bitya Neuhof, Yuval Benjamini |
| 2024 | Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases. | Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Aleksandr Beznosikov, Gauthier Gidel, Alexander V. Gasnikov |
| 2024 | On the Misspecification of Linear Assumptions in Synthetic Controls. | Achille O. R. Nazaret, Claudia Shi, David M. Blei |
| 2024 | Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. | Nikolaos Nakis, Abdulkadir elikkanat, Louis Boucherie, Sune Lehmann, Morten Mrup |
| 2024 | Warped Diffusion for Latent Differentiation Inference. | Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino |
| 2024 | Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. | Shintaro Nakamura, Masashi Sugiyama |
| 2024 | Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. | Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft |
| 2024 | LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. | Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya |
| 2024 | SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. | Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak |
| 2024 | Submodular Minimax Optimization: Finding Effective Sets. | Loay Raed Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi |
| 2024 | Scalable Algorithms for Individual Preference Stable Clustering. | Ron Mosenzon, Ali Vakilian |
| 2024 | On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX. | Ali Mortazavi, Junhao Lin, Nishant A. Mehta |
| 2024 | Differentiable Rendering with Reparameterized Volume Sampling. | Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky |
| 2024 | Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent. | Bianca Marin Moreno, Margaux Brgre, Pierre Gaillard, Nadia Oudjane |
| 2024 | Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. | Washim Uddin Mondal, Vaneet Aggarwal |
| 2024 | Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. | Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton |
| 2024 | Maximum entropy GFlowNets with soft Q-learning. | Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger, Pierre-Luc Bacon |
| 2024 | Faithful graphical representations of local independence. | Sren Wengel Mogensen |
| 2024 | Length independent PAC-Bayes bounds for Simple RNNs. | Volodimir Mitarchuk, Clara Lacroce, Rmi Eyraud, Rmi Emonet, Amaury Habrard, Guillaume Rabusseau |
| 2024 | FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning. | Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul Mazumder |
| 2024 | Efficient Graph Laplacian Estimation by Proximal Newton. | Yakov Medvedovsky, Eran Treister, Tirza S. Routtenberg |
| 2024 | Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference. | Declan McNamara, Jackson Loper, Jeffrey Regier |