Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization

21 March 2010

Papers citing "Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization"

26 / 76 papers shown

Title
AgentBuddy: A Contextual Bandit based Decision Support System for Customer Support Agents Hrishikesh V. Ganu Mithun Ghosh S. Roshan 22 1 0 24 Feb 2019
Unconstrained Submodular Maximization with Constant Adaptive Complexity Lin Chen Moran Feldman Amin Karbasi 9 35 0 15 Nov 2018
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility Benjamin Hepp Debadeepta Dey Sudipta N. Sinha Ashish Kapoor Neel Joshi Otmar Hilliges 17 54 0 27 Jun 2018
Approximate Submodular Functions and Performance Guarantees Gaurav Gupta S. Pequito P. Bogdan 18 6 0 17 Jun 2018
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming Kirthevasan Kandasamy Willie Neiswanger Reed Zhang A. Krishnamurthy J. Schneider Barnabás Póczós 19 5 0 25 May 2018
Teaching Multiple Concepts to a Forgetful Learner Anette Hunziker Yuxin Chen Oisin Mac Aodha Manuel Gomez Rodriguez Andreas Krause Pietro Perona Yisong Yue Adish Singla CLL 29 39 0 21 May 2018
Comparison Based Learning from Weak Oracles Ehsan Kazemi Lin Chen S. Dasgupta Amin Karbasi AAML 16 15 0 20 Feb 2018
Online Continuous Submodular Maximization Lin Chen Hamed Hassani Amin Karbasi 23 83 0 16 Feb 2018
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade Sebastian Scherer Debadeepta Dey 41 80 0 17 Nov 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs Sanjiban Choudhury Shervin Javdani S. Srinivasa Sebastian Scherer 38 16 0 28 Jun 2017
Active End-Effector Pose Selection for Tactile Object Recognition through Monte Carlo Tree Search Mabel M. Zhang Nikolay Atanasov Kostas Daniilidis 22 21 0 01 Mar 2017
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing Karan Goel Shreya Rajpal Mausam 16 9 0 12 Feb 2017
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults Sze Zheng Yong Lingyun Gao N. Ozay 27 3 0 24 Jan 2017
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains Yatao Bian Baharan Mirzasoleiman J. M. Buhmann Andreas Krause 26 146 0 17 Jun 2016
Horizontally Scalable Submodular Maximization Mario Lucic Olivier Bachem Morteza Zadimoghaddam Andreas Krause 17 8 0 31 May 2016
The Bayesian Linear Information Filtering Problem Bangrui Chen P. Frazier 23 1 0 30 May 2016
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification Cuong V Nguyen N. Ye Wee Sun Lee AAML 19 9 0 30 Mar 2016
Scenario Submodular Cover Nathaniel Grammel L. Hellerstein Devorah Kletenik P. Lin 19 10 0 10 Mar 2016
Distributed Submodular Maximization Baharan Mirzasoleiman Amin Karbasi Rik Sarkar Andreas Krause 40 205 0 03 Nov 2014
Lazier Than Lazy Greedy Baharan Mirzasoleiman Ashwinkumar Badanidiyuru Amin Karbasi J. Vondrák Andreas Krause 32 405 0 28 Sep 2014
Near Optimal Bayesian Active Learning for Decision Making Shervin Javdani Yuxin Chen Amin Karbasi Andreas Krause J. Andrew Bagnell S. Srinivasa 167 57 0 24 Feb 2014
Decision Trees for Function Evaluation - Simultaneous Optimization of Worst and Expected Cost Ferdinando Cicalese E. Laber A. Saettler 33 8 0 11 Sep 2013
Incentives for Privacy Tradeoff in Community Sensing Adish Singla Andreas Krause 41 75 0 19 Aug 2013
Efficient Touch Based Localization through Submodularity Shervin Javdani Matthew Klingensmith Drew Bagnell N. S. Pollard S. Srinivasa 46 74 0 30 Aug 2012
Adaptive Submodular Optimization under Matroid Constraints Daniel Golovin Andreas Krause 57 22 0 24 Jan 2011
Near-Optimal Bayesian Active Learning with Noisy Observations Daniel Golovin Andreas Krause Debajyoti Ray 71 205 0 15 Oct 2010