Papers
4,122 papers found
Distributed Statistical Inference under Heterogeneity
Jia Gu, Song Xi Chen
Divide-and-Conquer Fusion
Ryan S.Y. Chan, Murray Pollock, Adam M. Johansen et al.
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning
Zihao Li, Boyi Liu, Zhuoran Yang et al.
Dropout Training is Distributionally Robust Optimal
José Blanchet, Yang Kang, José Luis Montiel Olea et al.
Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method
Eglantine Karlé, Hemant Tyagi
Efficient Computation of Rankings from Pairwise Comparisons
M. E. J. Newman
Efficient Structure-preserving Support Tensor Train Machine
Kirandeep Kour, Sergey Dolgov, Martin Stoll et al.
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten
Entropic Fictitious Play for Mean Field Optimization Problem
Fan Chen, Zhenjie Ren, Songbo Wang
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Louis-Philippe Vignault, Audrey Durand, Pascal Germain
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering
Noirrit Kiran Chandra, Antonio Canale, David B. Dunson
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
Euler-Lagrange Analysis of Generative Adversarial Networks
Siddarth Asokan, Chandra Sekhar Seelamantula
Evaluating Instrument Validity using the Principle of Independent Mechanisms
Patrick F. Burauel
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III et al.
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Jon Vadillo, Roberto Santana, Jose A. Lozano
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Wenhao Li, Bo Jin, Xiangfeng Wang et al.
Factor Graph Neural Networks
Zhen Zhang, Mohammed Haroon Dupty, Fan Wu et al.
Fair Data Representation for Machine Learning at the Pareto Frontier
Shizhou Xu, Thomas Strohmer
Fairlearn: Assessing and Improving Fairness of AI Systems
Hilde Weerts, Miroslav Dudík, Richard Edgar et al.
Faith-Shap: The Faithful Shapley Interaction Index
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression
Jackson Zhou, John T. Ormerod, Clara Grazian
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
Zhishuai Guo, Yan Yan, Zhuoning Yuan et al.
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
Gaetano Romano, Idris A. Eckley, Paul Fearnhead et al.