Papers
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
Weichao Mao, Kaiqing Zhang, Ruihao Zhu et al.
Near-Optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu, Xiaoyu Chen, Chi Jin et al.
Near Optimal Reward-Free Reinforcement Learning
Zihan Zhang, Simon Du, Xiangyang Ji
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
Atalanti A Mastakouri, Bernhard Schölkopf, Dominik Janzing
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche, Gideon Dresdner, Francesco Locatello et al.
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam R Kosiorek, Heiko Strathmann, Daniel Zoran et al.
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang et al.
Neural Architecture Search without Training
Joe Mellor, Jack Turner, Amos Storkey et al.
Neural Feature Matching in Implicit 3D Representations
Yunlu Chen, Basura Fernando, Hakan Bilen et al.
Neural Pharmacodynamic State Space Modeling
Zeshan M Hussain, Rahul G. Krishnan, David Sontag
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma, Zhizhong Han, Yu-Shen Liu et al.
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, Patrick Kidger et al.
Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger, James Foster, Xuechen Li et al.
Neural Symbolic Regression that scales
Luca Biggio, Tommaso Bendinelli, Alexander Neitz et al.
Neural Tangent Generalization Attacks
Chia-Hung Yuan, Shan-Hung Wu
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Chen Qiu, Timo Pfrommer, Marius Kloft et al.
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Marin Vlastelica, Michal Rolinek, Georg Martius
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand, Gesualdo Scutari, Pavel Dvurechensky et al.
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
Kangqiao Liu, Liu Ziyin, Masahito Ueda
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Hangrui Bi, Hengyi Wang, Chence Shi et al.
Nondeterminism and Instability in Neural Network Optimization
Cecilia Summers, Michael J. Dinneen
Nonmyopic Multifidelity Acitve Search
Quan Nguyen, Arghavan Modiri, Roman Garnett
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato, Takeshi Teshima
Nonparametric Decomposition of Sparse Tensors
Conor Tillinghast, Shandian Zhe