Poster
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Thu 10:45
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Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
Aditya Gangrade · Praveen Venkatesh · Bobak Nazer · Venkatesh Saligrama
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Poster
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Tue 17:30
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Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
Vikas Garg · Tamar Pichkhadze
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Poster
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Tue 17:30
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Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Junzhe Zhang · Elias Bareinboim
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Poster
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Thu 10:45
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Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Robert Kleinberg · Kevin Leyton-Brown · Brendan Lucier · Devon Graham
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Poster
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Thu 17:00
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Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao · Alon Orlitsky
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Poster
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Thu 17:00
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Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti · Adam N. Elmachtoub · Paul Grigas · Ambuj Tewari
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Workshop
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Fri 11:30
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Neural Reparameterization Improves Structural Optimization
Stephan Hoyer · Jascha Sohl-Dickstein · Sam Greydanus
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Workshop
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Sat 14:40
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Contributed talk: On Solving Local Minimax Optimization: A Follow-the-Ridge Approach
Yuanhao Wang
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Workshop
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Fri 16:15
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Bistra Dilkina: Graph Representation Learning for Optimization on Graphs
Bistra Dilkina
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Workshop
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Sat 11:00
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Optico: A Framework for Model-Based Optimization with MuJoCo Physics - Invited Talk
Emo Todorov
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Workshop
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Sat 14:00
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Reinforcement Learning Beyond Optimization
Benjamin Van Roy
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Workshop
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Fri 16:45
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Kernel and Graph Optimization for DL Model Execution
Jinwon Lee
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