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Oral
Fri Jul 22 02:30 AM -- 02:50 AM (KST) @ Room 318 - 320
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
In Optimization/Reinforcement Learning
Alina Ene · Huy Nguyen
Spotlight
Fri Jul 22 02:50 AM -- 02:55 AM (KST) @ Room 318 - 320
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
In Optimization/Reinforcement Learning
Zijian Liu · Ta Duy Nguyen · Alina Ene · Huy Nguyen
Spotlight
Fri Jul 22 02:55 AM -- 03:00 AM (KST) @ Room 318 - 320
Adaptive Second Order Coresets for Data-efficient Machine Learning
In Optimization/Reinforcement Learning
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
Spotlight
Fri Jul 22 03:00 AM -- 03:05 AM (KST) @ Room 318 - 320
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
In Optimization/Reinforcement Learning
Trang Tran · Katya Scheinberg · Lam Nguyen
Spotlight
Fri Jul 22 03:05 AM -- 03:10 AM (KST) @ Room 318 - 320
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
In Optimization/Reinforcement Learning
Valentin Durante · George Katsirelos · Thomas Schiex
Oral
Fri Jul 22 03:10 AM -- 03:30 AM (KST) @ Room 318 - 320
Deletion Robust Submodular Maximization over Matroids
In Optimization/Reinforcement Learning
PAUL DUETTING · Federico Fusco · Silvio Lattanzi · Ashkan Norouzi-Fard · Morteza Zadimoghaddam
Spotlight
Fri Jul 22 03:30 AM -- 03:35 AM (KST) @ Room 318 - 320
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
In Optimization/Reinforcement Learning
Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe
Spotlight
Fri Jul 22 03:35 AM -- 03:40 AM (KST) @ Room 318 - 320
Instance Dependent Regret Analysis of Kernelized Bandits
In Optimization/Reinforcement Learning
Shubhanshu Shekhar · Tara Javidi
Spotlight
Fri Jul 22 03:40 AM -- 03:45 AM (KST) @ Room 318 - 320
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
In Optimization/Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
Spotlight
Fri Jul 22 03:45 AM -- 03:50 AM (KST) @ Room 318 - 320
Tell me why! Explanations support learning relational and causal structure
In Optimization/Reinforcement Learning
Andrew Lampinen · Nicholas Roy · Ishita Dasgupta · Stephanie Chan · Allison Tam · James McClelland · Chen Yan · Adam Santoro · Neil Rabinowitz · Jane Wang · Feilx Hill
Spotlight
Fri Jul 22 03:50 AM -- 03:55 AM (KST) @ Room 318 - 320
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
In Optimization/Reinforcement Learning
Matthias Weissenbacher · Samrath Sinha · Animesh Garg · Yoshinobu Kawahara