Papers
Multi-class classification in nonparametric active learning
Boris Ndjia Njike, Xavier Siebert
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman, Harald Melin, Hazal Koptagel et al.
Multivariate Quantile Function Forecaster
Kelvin Kan, François-Xavier Aubet, Tim Januschowski et al.
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu, Miaoyan Wang
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
Yinglun Zhu, Julian Katz-Samuels, Robert Nowak
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
Yue Wu, Dongruo Zhou, Quanquan Gu
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason, Lalit Jain, Subhojyoti Mukherjee et al.
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
Guodong Zhang, Yuanhao Wang, Laurent Lessard et al.
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
Jiafan He, Dongruo Zhou, Quanquan Gu
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning
Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low
Neural Contextual Bandits without Regret
Parnian Kassraie, Andreas Krause
Neural Enhanced Dynamic Message Passing
Fei Gao, Jiang Zhang, Yan Zhang
Neural score matching for high-dimensional causal inference
Oscar Clivio, Fabian Falck, Brieuc Lehmann et al.
New Coresets for Projective Clustering and Applications
Murad Tukan, Xuan Wu, Samson Zhou et al.
Node Feature Kernels Increase Graph Convolutional Network Robustness
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer et al.
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
Tianyi Liu, Yan Li, Enlu Zhou et al.
Nonparametric Relational Models with Superrectangulation
Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara et al.
Non-separable Spatio-temporal Graph Kernels via SPDEs
Alexander V. Nikitin, St John, Arno Solin et al.
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
Matias Altamirano, Felipe Tobar
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Dirk Van Der Hoeven, Nicolò Cesa-Bianchi
Norm-Agnostic Linear Bandits
Spencer B. Gales, Sunder Sethuraman, Kwang-Sung Jun
Nuances in Margin Conditions Determine Gains in Active Learning
Samory Kpotufe, Gan Yuan, Yunfan Zhao
Obtaining Causal Information by Merging Datasets with MAXENT
Sergio H. Garrido Mejia, Elke Kirschbaum, Dominik Janzing