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Foundations and Trends in Machine Learning cover

Foundations and Trends in Machine Learning

IF25.4
Papers34
Citations4667
Journal Papers 33
Publication Date
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Generalization Bounds : Perspectives from Information Theory and PAC-Bayes
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2025-01-01
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PREAI
deleteHellstrom, Fredrik; Durisi, Giuseppe; Raginsky, Maxim
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A Tutorial on Meta-Reinforcement Learning
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PREAI
deleteBeck, Jacob; Vuorio, Risto; Liu, Evan Zheran; Xiong, Zheng; Zintgraf, Luisa; Finn, Chelsea; Whiteson, Shimon
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Automated Deep Learning: Neural Architecture Search Is Not the End
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IF25.4
delete2024-01-01
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deleteDong, Xuanyi; Kedziora, David Jacob; Musial, Katarzyna; Gabrys, Bogdan
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Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning
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IF25.4
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deletePlecko, Drago; Bareinboim, Elias
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User-friendly Introduction to PAC-Bayes Bounds
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IF25.4
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deleteAlquier, Pierre
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AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
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IF25.4
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deleteKedziora, David Jacob; Musial, Katarzyna; Gabrys, Bogdan
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An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2024-01-01
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deleteChen, George H.
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A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2024-01-01
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deleteMontanari, Andrea; Sen, Subhabrata
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Model-based Reinforcement Learning: A Survey
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2023-01-01
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deleteMoerland, Thomas M.; Broekens, Joost; Plaat, Aske; Jonker, Catholijn M.
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Reinforcement Learning, Bit by Bit
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IF25.4
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deleteLu, Xiuyuan; Van Roy, Benjamin; Dwaracherla, Vikranth; Ibrahimi, Morteza; Osband, Ian; Wen, Zheng
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Conformal Prediction: A Gentle Introduction
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PREAI
deleteAngelopoulos, Anastasios N.; Bates, Stephen
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Graph Neural Networks for Natural Language Processing: A Survey
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IF25.4
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deleteWu, Lingfei; Chen, Yu; Shen, Kai; Guo, Xiaojie; Gao, Hanning; Li, Shucheng; Pei, Jian; Long, Bo
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Tutorial on Amortized Optimization
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IF25.4
delete2023-01-01
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deleteAmos, Brandon
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Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2023-01-01
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deleteGuigui, Nicolas; Miolane, Nina; Pennec, Xavier
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Divided Differences, Falling Factorials, and Discrete Splines
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2022-01-01
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deleteTibshirani, Ryan J.
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Risk-Sensitive Reinforcement Learning via Policy Gradient Search
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
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delete2022-01-01
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deletePrashanth, L. A.; Fu, Michael C.
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Learning in Repeated Auctions
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
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deleteNedelec, Thomas; Calauzenes, Clement; El Karoui, Noureddine; Perchet, Vianney
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A Unifying Tutorial on Approximate Message Passing
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deleteFeng, Oliver Y.; Venkataramanan, Ramji; Rush, Cynthia; Samworth, Richard J.
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Spectral Methods for Data Science: A Statistical Perspective
deleteFOUNDATIONS AND TRENDS IN MACHINE LEARNING
IF25.4
delete2021-01-01
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deleteChen, Yuxin; Chi, Yuejie; Fan, Jianqing; Ma, Cong
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Dynamical Variational Autoencoders: A Comprehensive Review
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deleteGirin, Laurent; Leglaive, Simon; Bie, Xiaoyu; Diard, Julien; Hueber, Thomas; Alameda-Pineda, Xavier
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