Fast Rates in Pool-Based Batch Active Learning

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Fast Rates in Pool-Based Batch Active Learning

11 February 2022

Claudio Gentile

Tong Zhang

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Papers citing "Fast Rates in Pool-Based Batch Active Learning"

19 / 19 papers shown

Title
Reinforcement Learning from Human Feedback with Active Queries Kaixuan Ji Jiafan He Quanquan Gu 98 19 0 14 Feb 2024
Selective Sampling and Imitation Learning via Online Regression Ayush Sekhari Karthik Sridharan Wen Sun Runzhe Wu 40 9 0 11 Jul 2023
A Unified Model and Dimension for Interactive Estimation Nataly Brukhim Miroslav Dudík Aldo Pacchiano Robert Schapire 19 1 0 09 Jun 2023
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 52 36 0 23 Aug 2022
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 64 156 0 29 Jul 2021
A Short Note on the Relationship of Information Gain and Eluder Dimension Kaixuan Huang Sham Kakade Jason D. Lee Qi Lei 44 8 0 06 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios Suraj Kothawade Nathan Beck Krishnateja Killamsetty Rishabh K. Iyer 55 106 0 01 Jul 2021
Data Shapley Valuation for Efficient Batch Active Learning Amirata Ghorbani James Zou A. Esteva TDI 39 37 0 16 Apr 2021
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise Chicheng Zhang Yinan Li 47 24 0 10 Feb 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature Kefan Dong Jiaqi Yang Tengyu Ma 89 33 0 08 Feb 2021
Chernoff Sampling for Active Testing and Extension to Active Regression Subhojyoti Mukherjee Ardhendu Shekhar Tripathy Robert D. Nowak 37 14 0 15 Dec 2020
Improved Optimistic Algorithms for Logistic Bandits Louis Faury Marc Abeille Clément Calauzènes Olivier Fercoq 101 95 0 18 Feb 2020
Adaptivity in Adaptive Submodularity Hossein Esfandiari Amin Karbasi Vahab Mirrokni 101 34 0 09 Nov 2019
Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez Lalit P. Jain Kevin Jamieson Lillian J. Ratliff 77 109 0 20 Jun 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 89 629 0 19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 105 777 0 09 Jun 2019
Diverse mini-batch Active Learning Fedor Zhdanov 59 156 0 17 Jan 2019
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions Katy S. Azoury Manfred K. Warmuth 167 325 0 23 Jan 2013
Active and passive learning of linear separators under log-concave distributions Maria-Florina Balcan Philip M. Long 87 148 0 06 Nov 2012