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Near-Optimal Bayesian Active Learning with Noisy Observations
15 October 2010
Daniel Golovin
Andreas Krause
Debajyoti Ray
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Papers citing
"Near-Optimal Bayesian Active Learning with Noisy Observations"
50 / 71 papers shown
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Submodular Information Selection for Hypothesis Testing with Misclassification Penalties
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A Generalized Acquisition Function for Preference-based Reward Learning
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Incentivized Collaboration in Active Learning
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Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
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Efficient Online Decision Tree Learning with Active Feature Acquisition
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Ziyu Ye
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03 May 2023
Modern Bayesian Experimental Design
Statistical Science (Statist. Sci.), 2023
Tom Rainforth
Adam Foster
Desi R. Ivanova
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367
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28 Feb 2023
Regularized impurity reduction: Accurate decision trees with complexity guarantees
Data mining and knowledge discovery (DMKD), 2022
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Aristides Gionis
191
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23 Aug 2022
Streaming Adaptive Submodular Maximization
Algorithmic Applications in Management (AAM), 2022
Shaojie Tang
Jing Yuan
222
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Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
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277
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30 Jun 2022
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
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Daniel M. Oppenheimer
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272
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27 May 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
International Conference on Learning Representations (ICLR), 2021
Renyu Zhang
Aly A. Khan
Robert L. Grossman
Yuxin Chen
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312
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27 Dec 2021
Leveraging Experience in Lazy Search
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M. Bhardwaj
Sanjiban Choudhury
Byron Boots
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10 Oct 2021
Learning Multimodal Rewards from Rankings
Conference on Robot Learning (CoRL), 2021
Vivek Myers
Erdem Biyik
Nima Anari
Dorsa Sadigh
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297
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27 Sep 2021
Approximating Pandora's Box with Correlations
International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM), 2021
Shuchi Chawla
Evangelia Gergatsouli
Jeremy McMahan
Christos Tzamos
245
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0
30 Aug 2021
Model Selection for Production System via Automated Online Experiments
Neural Information Processing Systems (NeurIPS), 2021
Zhenwen Dai
Praveen Chandar
G. Fazelnia
Ben Carterette
M. Lalmas
259
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0
27 May 2021
Bayesian Active Learning by Disagreements: A Geometric Perspective
Xiaofeng Cao
Ivor W. Tsang
212
10
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06 May 2021
Optimal Sampling Gaps for Adaptive Submodular Maximization
AAAI Conference on Artificial Intelligence (AAAI), 2021
Shaojie Tang
Jing Yuan
378
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05 Apr 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jan Achterhold
Joerg Stueckler
212
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Sensor Planning for Large Numbers of Robots
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430
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Active Learning: Problem Settings and Recent Developments
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301
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08 Dec 2020
Near-Optimal Data Source Selection for Bayesian Learning
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Lintao Ye
A. Mitra
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197
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Beyond Pointwise Submodularity: Non-Monotone Adaptive Submodular Maximization in Linear Time
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456
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11 Aug 2020
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
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Aziz Koçanaoğulları
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Deniz Erdogmus
173
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30 Jul 2020
Learning to search efficiently for causally near-optimal treatments
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Viktor Lindblom
Omer Gottesman
Fredrik D. Johansson
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231
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02 Jul 2020
Active recursive Bayesian inference using Rényi information measures
Yeganeh M. Marghi
Aziz Koçanaoğulları
M. Akçakaya
Deniz Erdogmus
191
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07 Apr 2020
Adaptivity in Adaptive Submodularity
Annual Conference Computational Learning Theory (COLT), 2019
Hossein Esfandiari
Amin Karbasi
Vahab Mirrokni
411
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09 Nov 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Conference on Robot Learning (CoRL), 2019
Erdem Biyik
Malayandi Palan
Nicholas C. Landolfi
Dylan P. Losey
Dorsa Sadigh
203
137
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10 Oct 2019
Noisy Batch Active Learning with Deterministic Annealing
Gaurav Gupta
Anit Kumar Sahu
Wan-Yi Lin
NoLa
206
7
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27 Sep 2019
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
Nils Wilde
Alex Blidaru
Stephen L. Smith
Dana Kulić
204
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24 Jul 2019
Bayesian Active Learning With Abstention Feedbacks
Cuong V Nguyen
L. Ho
Huan Xu
Vu C. Dinh
Binh T. Nguyen
133
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04 Jun 2019
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov
Lucas Maystre
Matthias Grossglauser
249
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13 May 2019
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio
K. Fujii
Shinsaku Sakaue
250
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24 Apr 2019
Variational Bayesian Optimal Experimental Design
Adam Foster
M. Jankowiak
Eli Bingham
Paul Horsfall
Yee Whye Teh
Tom Rainforth
Noah D. Goodman
433
167
0
13 Mar 2019
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions
Nils Wilde
Dana Kulić
Stephen L. Smith
151
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28 Jan 2019
Active Distribution Learning from Indirect Samples
Samarth Gupta
Gauri Joshi
Osman Yağan
153
5
0
16 Aug 2018
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
Kirthevasan Kandasamy
Willie Neiswanger
Reed Zhang
A. Krishnamurthy
J. Schneider
Barnabás Póczós
211
5
0
25 May 2018
Bayesian Active Edge Evaluation on Expensive Graphs
Sanjiban Choudhury
S. Srinivasa
Sebastian Scherer
132
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0
20 Nov 2017
Data-driven Planning via Imitation Learning
Sanjiban Choudhury
M. Bhardwaj
S. Arora
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
368
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17 Nov 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury
Shervin Javdani
S. Srinivasa
Sebastian Scherer
201
16
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28 Jun 2017
Bayesian Pool-based Active Learning With Abstention Feedbacks
Cuong V Nguyen
L. Ho
Huan Xu
Vu C. Dinh
Binh T. Nguyen
300
0
0
23 May 2017
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
218
23
0
22 May 2017
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
Yuxin Chen
J. Renders
M. Chehreghani
Andreas Krause
271
14
0
16 Mar 2017
Adaptive Matching for Expert Systems with Uncertain Task Types
Virag Shah
Lennart Gulikers
Laurent Massoulie
Milan Vojnović
196
22
0
02 Mar 2017
Active End-Effector Pose Selection for Tactile Object Recognition through Monte Carlo Tree Search
Mabel M. Zhang
Nikolay Atanasov
Kostas Daniilidis
314
23
0
01 Mar 2017
Diameter-Based Active Learning
International Conference on Machine Learning (ICML), 2017
Christopher Tosh
S. Dasgupta
AI4CE
168
27
0
27 Feb 2017
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults
American Control Conference (ACC), 2017
Sze Zheng Yong
Lingyun Gao
N. Ozay
299
3
0
24 Jan 2017
Learning to Gather Information via Imitation
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Debadeepta Dey
246
29
0
13 Nov 2016
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