Papers
Multi-Receiver Online Bayesian Persuasion
Matteo Castiglioni, Alberto Marchesi, Andrea Celli et al.
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Shumao Zhang, Pengchuan Zhang, Thomas Y Hou
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li, Abhishek Gupta, Ashwin Reddy et al.
Narrow Margins: Classification, Margins and Fat Tails
Francois Buet-Golfouse
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin, Raluca Georgescu, Ida Momennejad et al.
Near-Optimal Algorithms for Explainable k-Medians and k-Means
Konstantin Makarychev, Liren Shan
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun K Kuchibhotla, Qinqing Zheng
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
Vivek Farias, Andrew A Li, Tianyi Peng
Near-Optimal Linear Regression under Distribution Shift
Qi Lei, Wei Hu, Jason Lee
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