Search Results - "Jamieson Kevin" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

by Wagenmaker, Andrew, Chen, Yifang, Simchowitz, Max, Du, Simon S, Jamieson, Kevin
Year of Publication 06.12.2021

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Journal Article

Non-stochastic Best Arm Identification and Hyperparameter Optimization

Non-stochastic Best Arm Identification and Hyperparameter Optimization

by Jamieson, Kevin, Talwalkar, Ameet
Year of Publication 27.02.2015

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Journal Article

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning

by Wagenmaker, Andrew, Simchowitz, Max, Jamieson, Kevin
Published in arXiv.org (22.06.2022)

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Paper

Nearly Optimal Algorithms for Level Set Estimation

Nearly Optimal Algorithms for Level Set Estimation

by Mason, Blake, Camilleri, Romain, Mukherjee, Subhojyoti, Jamieson, Kevin, Nowak, Robert, Jain, Lalit
Year of Publication 02.11.2021

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Journal Article

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity

by Xiong, Zhihan, Camilleri, Romain, Fazel, Maryam, Jain, Lalit, Jamieson, Kevin
Published in arXiv.org (15.02.2024)

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Paper

Training a support vector machine to classify signals in a real environment given clean training data

Training a support vector machine to classify signals in a real environment given clean training data

by Jamieson, Kevin, Gupta, Maya R, Swanson, Eric, Anderson, Hyrum S
Published in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (01.03.2010)

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Conference Proceeding

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

by Zhang, Jifan, Chen, Yifang, Canal, Gregory, Mussmann, Stephen, Das, Arnav M, Bhatt, Gantavya, Zhu, Yinglun, Bilmes, Jeffrey, Du, Simon Shaolei, Jamieson, Kevin, Nowak, Robert D
Year of Publication 16.06.2023

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Journal Article

Fair Active Learning in Low-Data Regimes

Fair Active Learning in Low-Data Regimes

by Camilleri, Romain, Wagenmaker, Andrew, Morgenstern, Jamie, Jain, Lalit, Jamieson, Kevin
Published in arXiv.org (13.12.2023)

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Paper

Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits

Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits

by Maiti, Arnab, Boczar, Ross, Jamieson, Kevin, Ratliff, Lillian J
Published in arXiv.org (27.11.2023)

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Paper

Active Multi-Task Representation Learning

Active Multi-Task Representation Learning

by Chen, Yifang, Du, Simon S, Jamieson, Kevin
Published in arXiv.org (02.02.2022)

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Paper

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

by Bhatt, Gantavya, Chen, Yifang, Das, Arnav M, Zhang, Jifan, Truong, Sang T, Mussmann, Stephen, Zhu, Yinglun, Bilmes, Jeffrey, Du, Simon S, Jamieson, Kevin, Ash, Jordan T, Nowak, Robert D
Year of Publication 12.01.2024

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Journal Article

Best Arm Identification with Safety Constraints

Best Arm Identification with Safety Constraints

by Wang, Zhenlin, Wagenmaker, Andrew, Jamieson, Kevin
Published in arXiv.org (23.11.2021)

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Paper

Learning to Actively Learn: A Robust Approach

Learning to Actively Learn: A Robust Approach

by Zhang, Jifan, Jain, Lalit, Jamieson, Kevin
Published in arXiv.org (15.11.2021)

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Paper

Sequential Experimental Design for Transductive Linear Bandits

Sequential Experimental Design for Transductive Linear Bandits

by Fiez, Tanner, Jain, Lalit, Jamieson, Kevin, Ratliff, Lillian
Year of Publication 19.06.2019

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Journal Article

Improved Active Multi-Task Representation Learning via Lasso

Improved Active Multi-Task Representation Learning via Lasso

by Wang, Yiping, Chen, Yifang, Jamieson, Kevin, Du, Simon S
Published in arXiv.org (05.06.2023)

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Paper

Task-Optimal Exploration in Linear Dynamical Systems

Task-Optimal Exploration in Linear Dynamical Systems

by Wagenmaker, Andrew, Simchowitz, Max, Jamieson, Kevin
Published in arXiv.org (09.07.2021)

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Paper

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning

by Li, Liam, Sparks, Evan, Jamieson, Kevin, Talwalkar, Ameet
Year of Publication 12.03.2019

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Journal Article

Corruption Robust Active Learning

Corruption Robust Active Learning

by Chen, Yifang, Du, Simon S, Jamieson, Kevin
Published in arXiv.org (21.06.2021)

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Paper

Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding

Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding

by Gordon, Ethan K, Roychowdhury, Sumegh, Bhattacharjee, Tapomayukh, Jamieson, Kevin, Srinivasa, Siddhartha S
Year of Publication 04.11.2020

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Journal Article

Open Loop Hyperparameter Optimization and Determinantal Point Processes

Open Loop Hyperparameter Optimization and Determinantal Point Processes

by Dodge, Jesse, Jamieson, Kevin, Smith, Noah A
Year of Publication 05.06.2017

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Journal Article

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