Papers
4,122 papers found
Non-Euclidean Monotone Operator Theory and Applications
Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov et al.
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data
Joseph Feldman, Daniel R. Kowal
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks
Guohao Shen, Yuling Jiao, Yuanyuan Lin et al.
Nonparametric Inference under B-bits Quantization
Kexuan Li, Ruiqi Liu, Ganggang Xu et al.
Nonparametric Regression for 3D Point Cloud Learning
Xinyi Li, Shan Yu, Yueying Wang et al.
Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks
Yunfei Yang, Ding-Xuan Zhou
Non-splitting Neyman-Pearson Classifiers
Jingming Wang, Lucy Xia, Zhigang Bao et al.
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
Alexander Terenin, David R. Burt, Artem Artemev et al.
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Ariyan Bighashdel, Daan de Geus, Pavol Jancura et al.
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Jiaming Ji, Jiayi Zhou, Borong Zhang et al.
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
Xuetong Wu, Mingming Gong, Jonathan H. Manton et al.
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
Oliver Dukes, Stijn Vansteelandt, David Whitney
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Yangjing Zhang, Ying Cui, Bodhisattva Sen et al.
On Regularized Radon-Nikodym Differentiation
Duc Hoan Nguyen, Werner Zellinger, Sergei Pereverzyev
On Sufficient Graphical Models
Bing Li, Kyongwon Kim
On Tail Decay Rate Estimation of Loss Function Distributions
Etrit Haxholli, Marco Lorenzi
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing
Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho et al.
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Minhui Huang, Shiqian Ma, Lifeng Lai
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
Sebastian Neumayer, Lénaïc Chizat, Michael Unser
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
Yicheng Li, Zixiong Yu, Guhan Chen et al.
On the Generalization of Stochastic Gradient Descent with Momentum
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher et al.