Papers
Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld
Nonlinear Functional Output Regression: A Dictionary Approach
Dimitri Bouche, Marianne Clausel, François Roueff et al.
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Huichen Li, Linyi Li, Xiaojun Xu et al.
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth, Mihaela van der Schaar
Nonparametric Variable Screening with Optimal Decision Stumps
Jason Klusowski, Peter Tian
Non-Stationary Off-Policy Optimization
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers
Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps
No-regret Algorithms for Multi-task Bayesian Optimization
Sayak Ray Chowdhury, Aditya Gopalan
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
Vincent Zhuang, Yanan Sui
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation
Yuki Ohnishi, Jean Honorio
Offline detection of change-points in the mean for stationary graph signals.
Alejandro de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett, Nathan Kallus, Lihong Li et al.
On Data Efficiency of Meta-learning
Maruan Al-Shedivat, Liam Li, Eric Xing et al.
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu, Jiaming Xu
One-Round Communication Efficient Distributed M-Estimation
Yajie Bao, Weijia Xiong
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili, Kia Khezeli, Victor Picheny
On Learning Continuous Pairwise Markov Random Fields
Abhin Shah, Devavrat Shah, Gregory Wornell
Online Active Model Selection for Pre-trained Classifiers
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlaš et al.
Online Forgetting Process for Linear Regression Models
Yuantong Li, Chi-Hua Wang, Guang Cheng
Online k-means Clustering
Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade et al.
Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan Lee, Aldo Pacchiano, Vidya Muthukumar et al.
Online probabilistic label trees
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari et al.
Online Robust Control of Nonlinear Systems with Large Uncertainty
Dimitar Ho, Hoang Le, John Doyle et al.