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Active Learning for Cost-Sensitive Classification

3 March 2017

Papers citing "Active Learning for Cost-Sensitive Classification"

24 / 24 papers shown

Title
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 203 1 0 10 Jan 2025
Practical Contextual Bandits with Regression Oracles Dylan J. Foster Alekh Agarwal Miroslav Dudík Haipeng Luo Robert Schapire 393 126 0 03 Mar 2018
Adaptivity to Noise Parameters in Nonparametric Active Learning A. Locatelli Alexandra Carpentier Samory Kpotufe 38 29 0 16 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 132 235 0 03 Mar 2017
Efficient Algorithms for Adversarial Contextual Learning Vasilis Syrgkanis A. Krishnamurthy Robert Schapire 140 79 0 08 Feb 2016
On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities Alexander Rakhlin Karthik Sridharan 55 49 0 13 Oct 2015
Efficient and Parsimonious Agnostic Active Learning Tzu-Kuo Huang Alekh Agarwal Daniel J. Hsu John Langford Robert Schapire 132 47 0 29 Jun 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity Tengyuan Liang Alexander Rakhlin Karthik Sridharan 74 74 0 21 Feb 2015
Learning to Search Better Than Your Teacher Kai-Wei Chang A. Krishnamurthy Alekh Agarwal Hal Daumé John Langford OffRL 55 231 0 08 Feb 2015
Minimax Analysis of Active Learning Steve Hanneke Liu Yang 129 108 0 03 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,658 0 17 Sep 2014
Normalized Online Learning Stéphane Ross Paul Mineiro John Langford 146 69 0 09 Aug 2014
Beyond Disagreement-based Agnostic Active Learning Chicheng Zhang Kamalika Chaudhuri 160 86 0 10 Jul 2014
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 150 264 0 23 Jun 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal Daniel J. Hsu Satyen Kale John Langford Lihong Li Robert Schapire OffRL 394 509 0 04 Feb 2014
Empirical entropy, minimax regret and minimax risk Alexander Rakhlin Karthik Sridharan Alexandre B. Tsybakov 166 81 0 06 Aug 2013
Active and passive learning of linear separators under log-concave distributions Maria-Florina Balcan Philip M. Long 83 148 0 06 Nov 2012
Surrogate Losses in Passive and Active Learning Steve Hanneke Liu Yang 121 17 0 16 Jul 2012
Plug-in Approach to Active Learning Stanislav Minsker 97 48 0 07 Apr 2011
Online Importance Weight Aware Updates Nikos Karampatziakis John Langford 174 79 0 06 Nov 2010
Agnostic Active Learning Without Constraints A. Beygelzimer Daniel J. Hsu John Langford Tong Zhang VLM 120 180 0 14 Jun 2010
Contextual Bandit Algorithms with Supervised Learning Guarantees A. Beygelzimer John Langford Lihong Li L. Reyzin Robert Schapire OffRL 199 325 0 22 Feb 2010
Search-based Structured Prediction Hal Daumé John Langford Daniel Marcu GNN 138 586 0 04 Jul 2009
Importance Weighted Active Learning A. Beygelzimer S. Dasgupta John Langford 95 364 0 29 Dec 2008