Accepted Papers

PaperAuthorsSlides
Task-Agnostic Sample Design for Machine LearningBhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Peer-Timo Bremerpdf
BOSH: Bayesian Optimization by Sampling HierarchicallyHenry B. Moss, David S. Leslie, Paul Raysonpdf
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under RealizabilityDavid Simchi-Levi, Yunzong Xupdf
Active Learning for Air Quality Station DeploymentS. Deepak Narayanan, Apoorv Agnihotri, Nipun Batrapdf
Active Learning Using DiscrepancyZhenghang Cui, Issei Satopdf
A Large-scale Open Dataset for Bandit AlgorithmsYuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Naritapdf
Max-value Entropy Search for Multi-Objective Bayesian OptimizationSyrine Belakaria, Aryan Deshwal, Janardhan Rao Doppapdf
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search FrameworkAryan Deshwal, Syrine Belakaria, Janardhan Rao, Alan Fernpdf
Active Online Domain AdaptationYining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhangpdf
Decentralized Policy Gradient Method for Mean-Field Linear Quadratic Regulator with Global ConvergenceLewis Liu, Zhuoran Yang, Yuchen Lu, Zhaoran Wangpdf
Using Active Learning for Assisted Short Answer GradingJeeveswaran Kishaan, Mohandass Muthuraja, Deebul Nair, Paul G. Plogerpdf
An Improved Matrix Completion Algorithm For Categorical Variables: Application to Active Learning of Drug ResponsesHuangqingbo Sun, Robert F. Murphypdf
Black-Box Optimization with Local Generative SurrogatesSergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atılım Güneş Baydinpdf
Preference-Based Bayesian Optimization in High Dimensions with Human FeedbackMyra Cheng, Ellen Novoseller, Maegan Tucker, Richard Cheng, Joel Burdick, Yisong Yuepdf
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted RetrainingAustin Tripp, Erik Daxberger, Jose Miguel Hernandez-Lobatopdf
Optimal Batch Variance with Second-Order MarginalsZelda Mariet, Joshua Robinson, Jamie Smith, Suvrit Sra, Stefanie Jegelkapdf
A Hierarchical Approach to Scaling Batch Active Search Over Structured DataVivek Myers, Peyton Greensidepdf
Learning to Play Sequential Games versus Unknown OpponentsPier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krausepdf
Bayesian Optimization for Min Max OptimizationDorina Weichert, Alexander Kisterpdf
Safe Reinforcement Learning in Constrained Markov Decision ProcessesAkifumi Wachi, Yanan Suipdf
Query-augmented Active Learning for Large-scale ClusteringYujia Deng, Yubai Yuan, Haoda Fu, Annie Qupdf
Stochastic Multiplayer Bandit Learning from Player-Dependent FeedbackZhi Wang, Manish Kumar Singh, Chicheng Zhang, Laurel D. Riek, Kamalika Chaudhuripdf
Cost-Efficient Online Hyperparameter OptimizationJingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasunpdf
Cost-Aware Bayesian Optimization via Information Directed SamplingBiswajit Paria, Willie Neiswanger, Ramina Ghods, Jeff Schneider, Barnabás Póczospdf
Promoting Fairness in Learned Models by Learning to Active Learn under Parity ConstraintsAmr Sharaf, Hal Daumé IIIpdf
PareCO: Pareto-aware Channel Optimization for Slimmable Neural NetworksTing-Wu Chin, Ari S. Morcos, Diana Marculescupdf
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance SamplingSetareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana Brooksm, Jennifer Dy, Jasper Snoekpdf
Active Continual Learning for Planning and NavigationAhmed H. Qureshi, Yinglong Miao, Michael C. Yippdf
Estimating α-Rank by Maximizing Information GainTabish Rashid, Cheng Zhang, Kamil Ciosekpdf
Multi-task Bayesian Optimization via Gaussian Process Upper Confidence BoundSihui Dai, Jialin Song, Yisong Yuepdf
Efficient Active Learning for New DomainsKiri L. Wagstaff, Steven Lupdf
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian ApproximationsKevin Miller, Hao Li, Andrea L. Bertozzipdf
Improved Regret Bounds for Agnostic Gaussian Process Bandits using Local Polynomial EstimatorsShubhanshu Shekhar, Tara Javidipdf
Sequential Design of Experiments with Unknown CovariatesHarvineet Singh, Rumi Chunarapdf
Efficient Black-Box Combinatorial OptimizationHamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Daspdf
Accelerating Online Reinforcement Learning with Offline DatasetsAshvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levinepdf
Assisted Robust Reward DesignJerry Zhi-Yang He, Anca D. Draganpdf
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit ProblemZhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian (Eugene) Liu, Lijun Chenpdf
Preference Learning for Real-World Multi-Objective Decision MakingZhiyuan “Jerry” Lin, Adam Obeng, Eytan Bakshypdf
Experimental Design for Bathymetry EditingJulaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozerpdf
Testing RL with Planning for Demand Response in an Energy Social GameLucas Spangher, Adam Bouyamourn, Manan Khattar, Akaash Tawade , Akash Gokul, Alex Devonport, Costas Spanospdf
Batch Acquistion for Deep Bayesian Active Learning with Imperfect OraclesPushkar Kolhepdf
Bayesian Active Drug DiscoveryYuanqing Wang, Manh Nguyen, Michael Retchin, John D. Chodera, Theofanis Karaletsospdf
Active Learning under Label ShiftEric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yuepdf
Learning Algorithms for Dynamic Pricing: A Comparative StudyChaitanya Amballa, Narendhar Gugulothu, Manu K. Gupta, Sanjay P. Bhatpdf