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22 Results

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Poster
Wed 9:00 Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee · John Duchi · John Lafferty · Yuancheng Zhu
Poster
Tue 9:00 Bayesian optimization for automated model selection
Gustavo Malkomes · Charles Schaff · Roman Garnett
Poster
Tue 9:00 Adaptive Concentration Inequalities for Sequential Decision Problems
Shengjia Zhao · Enze Zhou · Ashish Sabharwal · Stefano Ermon
Poster
Mon 9:00 Search Improves Label for Active Learning
Alina Beygelzimer · Daniel Hsu · John Langford · Chicheng Zhang
Poster
Wed 9:00 The Power of Adaptivity in Identifying Statistical Alternatives
Kevin Jamieson · Daniel Haas · Benjamin Recht
Poster
Tue 9:00 Budgeted stream-based active learning via adaptive submodular maximization
Kaito Fujii · Hisashi Kashima
Poster
Mon 9:00 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
Poster
Mon 9:00 Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell · Stuart J Russell · Pieter Abbeel · Anca Dragan
Poster
Mon 9:00 Adaptive optimal training of animal behavior
Ji Hyun Bak · Jung Choi · Ilana Witten · Athena Akrami · Jonathan Pillow
Poster
Wed 9:00 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny · Robert B Gramacy · Stefan Wild · Sebastien Le Digabel