Papers
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Haoyuan Cai, Tengyu Ma, Simon Du
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yu Bai, Chi Jin, Song Mei et al.
Near-optimal rate of consistency for linear models with missing values
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
Nested Bandits
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier et al.
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Trang H Tran, Katya Scheinberg, Lam M Nguyen
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Zhijie Deng, Jiaxin Shi, Jun Zhu
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
Burak Bartan, Mert Pilanci
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
Peihao Wang, Zhiwen Fan, Tianlong Chen et al.
Neural Inverse Kinematic
Raphael Bensadoun, Shir Gur, Nitsan Blau et al.
Neural Inverse Transform Sampler
Henry Li, Yuval Kluger
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Alexandre Pasquiou, Yair Lakretz, John T Hale et al.
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Samuel I Holt, Zhaozhi Qian, Mihaela van der Schaar
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
Moein Khajehnejad, Forough Habibollahi, Richard Nock et al.
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
Franco Pellegrini, Giulio Biroli
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
Jingzhao Zhang, Haochuan Li, Suvrit Sra et al.
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang et al.
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Jongmin Lee, Joo Young Choi, Ernest K Ryu et al.
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Mariia Seleznova, Gitta Kutyniok
Neural Tangent Kernel Empowered Federated Learning
Kai Yue, Richeng Jin, Ryan Pilgrim et al.
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Hung Le, Svetha Venkatesh
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Shanyan Guan, Huayu Deng, Yunbo Wang et al.
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
Yaojie Hu, Jin Tian
Neuro-Symbolic Hierarchical Rule Induction
Claire Glanois, Zhaohui Jiang, Xuening Feng et al.
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon, Frank Xu, Junxian He et al.
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song et al.