Papers
4,122 papers found
Distributed Estimation on Semi-Supervised Generalized Linear Model
Jiyuan Tu, Weidong Liu, Xiaojun Mao
Distributed Kernel-Driven Data Clustering
Ioannis Schizas
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective
Youssef Marzouk, Zhi (Robert) Ren, Sven Wang et al.
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models
Patrick Blöbaum, Peter Götz, Kailash Budhathoki et al.
Dropout Regularization Versus l2-Penalization in the Linear Model
Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber
Effect-Invariant Mechanisms for Policy Generalization
Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja et al.
Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
Hao Wang, Ye Wang, Xiangyu Yang
Efficient Convex Algorithms for Universal Kernel Learning
Aleksandr Talitckii, Brendon Colbert, Matthew M. Peet
Efficient Modality Selection in Multimodal Learning
Yifei He, Runxiang Cheng, Gargi Balasubramaniam et al.
Empirical Design in Reinforcement Learning
Andrew Patterson, Samuel Neumann, Martha White et al.
ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data
Kaixu Yang, Arkaprabha Ganguli, Tapabrata Maiti
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
Gabriel Rioux, Ziv Goldfeld, Kengo Kato
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design
Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure
Meixia Lin, Defeng Sun, Kim-Chuan Toh et al.
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator
Marie Du Roy de Chaumaray, Salima El Kolei, Marie-Pierre Etienne et al.
Euler Characteristic Tools for Topological Data Analysis
Olympio Hacquard, Vadim Lebovici
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
Anindya Bhadra, Ksheera Sagar, David Rowe et al.
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
Natalie S. Frank, Jonathan Niles-Weed
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
Zixian Yang, Xin Liu, Lei Ying
Exploration of the Search Space of Gaussian Graphical Models for Paired Data
Alberto Roverato, Dung Ngoc Nguyen
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius
Fairness guarantees in multi-class classification with demographic parity
Christophe Denis, Romuald Elie, Mohamed Hebiri et al.