Papers
4,122 papers found
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
Mochuan Liu, Yuanjia Wang, Haoda Fu et al.
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang et al.
Learning to Warm-Start Fixed-Point Optimization Algorithms
Rajiv Sambharya, Georgina Hall, Brandon Amos et al.
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu, Leello Dadi, Volkan Cevher
Linear Distance Metric Learning with Noisy Labels
Meysam Alishahi, Anna Little, Jeff M. Phillips
Linear Regression With Unmatched Data: A Deconvolution Perspective
Mona Azadkia, Fadoua Balabdaoui
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
Jaesun Shin, Eunjoo Jeon, Taewon Cho et al.
Localisation of Regularised and Multiview Support Vector Machine Learning
Aurelian Gheondea, Cankat Tilki
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus, Xiaojie Mao, Masatoshi Uehara
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
Ilnura Usmanova, Yarden As, Maryam Kamgarpour et al.
Logistic Regression Under Network Dependence
Somabha Mukherjee, Ziang Niu, Sagnik Halder et al.
Lower Bounds on the Bayesian Risk via Information Measures
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Michel Groppe, Shayan Hundrieser
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
Yuze Han, Guangzeng Xie, Zhihua Zhang
Low-Rank Matrix Estimation in the Presence of Change-Points
Lei Shi, Guanghui Wang, Changliang Zou
Low-rank Variational Bayes correction to the Laplace method
Janet van Niekerk, Haavard Rue
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria et al.
MAP- and MLE-Based Teaching
Hans Ulrich Simon, Jan Arne Telle
Margin-Based Active Learning of Classifiers
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
Materials Discovery using Max K-Armed Bandit
Nobuaki Kikkawa, Hiroshi Ohno
Mathematical Framework for Online Social Media Auditing
Wasim Huleihel, Yehonathan Refael
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
François G. Ged, Maria Han Veiga
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
Bora Yongacoglu, Gürdal Arslan, Serdar Yüksel