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Workshop
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Sat 7:00
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Differentiable learning Under Algorithmic Triage
Manuel Gomez-Rodriguez
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Spotlight
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Thu 7:25
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Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
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Workshop
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Fri 9:55
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On-the-fly learning of adaptive strategies with bandit algorithms
Rashid Bakirov
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Oral
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Wed 17:00
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Label Distribution Learning Machine
Jing Wang · Xin Geng
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Poster
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Thu 9:00
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Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
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Workshop
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Sat 5:40
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Algorithms for Efficient Federated and Decentralized Learning (Q&A)
Sebastian Stich
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Oral
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Wed 17:00
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Online Unrelated Machine Load Balancing with Predictions Revisited
Shi Li · Jiayi Xian
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Workshop
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Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
Honghao Wei · Xin Liu · Lei Ying
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Poster
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Wed 21:00
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Label Distribution Learning Machine
Jing Wang · Xin Geng
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Workshop
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Fri 12:00
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Paper Presentation 1: Analyzing the Security of Machine Learning for Algorithmic Trading
Avi Schwarzschild · Micah Goldblum · Tom Goldstein
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Spotlight
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Thu 6:35
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Active Covering
Heinrich Jiang · Afshin Rostamizadeh
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Spotlight
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Wed 19:20
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Training Recurrent Neural Networks via Forward Propagation Through Time
Anil Kag · Venkatesh Saligrama
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