| Task-Agnostic Sample Design for Machine Learning | Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Peer-Timo Bremer | pdf |
| BOSH: Bayesian Optimization by Sampling Hierarchically | Henry B. Moss, David S. Leslie, Paul Rayson | pdf |
| Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability | David Simchi-Levi, Yunzong Xu | pdf |
| Active Learning for Air Quality Station Deployment | S. Deepak Narayanan, Apoorv Agnihotri, Nipun Batra | pdf |
| Active Learning Using Discrepancy | Zhenghang Cui, Issei Sato | pdf |
| A Large-scale Open Dataset for Bandit Algorithms | Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita | pdf |
| Max-value Entropy Search for Multi-Objective Bayesian Optimization | Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa | pdf |
| Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework | Aryan Deshwal, Syrine Belakaria, Janardhan Rao, Alan Fern | pdf |
| Active Online Domain Adaptation | Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang | pdf |
| Using Active Learning for Assisted Short Answer Grading | Jeeveswaran Kishaan, Mohandass Muthuraja, Deebul Nair, Paul G. Ploger | pdf |
| An Improved Matrix Completion Algorithm For Categorical Variables: Application to Active Learning of Drug Responses | Huangqingbo Sun, Robert F. Murphy | pdf |
| Black-Box Optimization with Local Generative Surrogates | Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atılım Güneş Baydin | pdf |
| Preference-Based Bayesian Optimization in High Dimensions with Human Feedback | Myra Cheng, Ellen Novoseller, Maegan Tucker, Richard Cheng, Joel Burdick, Yisong Yue | pdf |
| Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining | Austin Tripp, Erik Daxberger, Jose Miguel Hernandez-Lobato | pdf |
| Optimal Batch Variance with Second-Order Marginals | Zelda Mariet, Joshua Robinson, Jamie Smith, Suvrit Sra, Stefanie Jegelka | pdf |
| A Hierarchical Approach to Scaling Batch Active Search Over Structured Data | Vivek Myers, Peyton Greenside | pdf |
| Learning to Play Sequential Games versus Unknown Opponents | Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause | pdf |
| Bayesian Optimization for Min Max Optimization | Dorina Weichert, Alexander Kister | pdf |
| Safe Reinforcement Learning in Constrained Markov Decision Processes | Akifumi Wachi, Yanan Sui | pdf |
| Query-augmented Active Learning for Large-scale Clustering | Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu | pdf |
| Stochastic Multiplayer Bandit Learning from Player-Dependent Feedback | Zhi Wang, Manish Kumar Singh, Chicheng Zhang, Laurel D. Riek, Kamalika Chaudhuri | pdf |
| Cost-Efficient Online Hyperparameter Optimization | Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun | pdf |
| Cost-Aware Bayesian Optimization via Information Directed Sampling | Biswajit Paria, Willie Neiswanger, Ramina Ghods, Jeff Schneider, Barnabás Póczos | pdf |
| Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints | Amr Sharaf, Hal Daumé III | pdf |
| PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks | Ting-Wu Chin, Ari S. Morcos, Diana Marculescu | pdf |
| Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling | Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana Brooksm, Jennifer Dy, Jasper Snoek | pdf |
| Active Continual Learning for Planning and Navigation | Ahmed H. Qureshi, Yinglong Miao, Michael C. Yip | pdf |
| Estimating α-Rank by Maximizing Information Gain | Tabish Rashid, Cheng Zhang, Kamil Ciosek | pdf |
| Multi-task Bayesian Optimization via Gaussian Process Upper Confidence Bound | Sihui Dai, Jialin Song, Yisong Yue | pdf |
| Efficient Active Learning for New Domains | Kiri L. Wagstaff, Steven Lu | pdf |
| Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations | Kevin Miller, Hao Li, Andrea L. Bertozzi | pdf |
| Improved Regret Bounds for Agnostic Gaussian Process Bandits using Local Polynomial Estimators | Shubhanshu Shekhar, Tara Javidi | pdf |
| Sequential Design of Experiments with Unknown Covariates | Harvineet Singh, Rumi Chunara | pdf |
| Efficient Black-Box Combinatorial Optimization | Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das | pdf |
| Accelerating Online Reinforcement Learning with Offline Datasets | Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine | pdf |
| Assisted Robust Reward Design | Jerry Zhi-Yang He, Anca D. Dragan | pdf |
| A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem | Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian (Eugene) Liu, Lijun Chen | pdf |
| Preference Learning for Real-World Multi-Objective Decision Making | Zhiyuan “Jerry” Lin, Adam Obeng, Eytan Bakshy | pdf |
| Experimental Design for Bathymetry Editing | Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer | pdf |
| Testing RL with Planning for Demand Response in an Energy Social Game | Lucas Spangher, Adam Bouyamourn, Manan Khattar, Akaash Tawade , Akash Gokul, Alex Devonport, Costas Spanos | pdf |
| Batch Acquistion for Deep Bayesian Active Learning with Imperfect Oracles | Pushkar Kolhe | pdf |
| Bayesian Active Drug Discovery | Yuanqing Wang, Manh Nguyen, Michael Retchin, John D. Chodera, Theofanis Karaletsos | pdf |
| Active Learning under Label Shift | Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue | pdf |
| Learning Algorithms for Dynamic Pricing: A Comparative Study | Chaitanya Amballa, Narendhar Gugulothu, Manu K. Gupta, Sanjay P. Bhat | pdf |