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Poster
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Wed 9:00
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Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
Chirag Gupta · Aaditya Ramdas
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Spotlight
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Wed 19:25
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On Variational Inference in Biclustering Models
Guanhua Fang · Ping Li
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Poster
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Wed 21:00
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On Variational Inference in Biclustering Models
Guanhua Fang · Ping Li
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Spotlight
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Wed 6:45
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Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
Chirag Gupta · Aaditya Ramdas
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Poster
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Thu 21:00
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Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert · Ziv Goldfeld · Kengo Kato
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Spotlight
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Thu 20:45
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Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert · Ziv Goldfeld · Kengo Kato
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Spotlight
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Wed 18:30
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Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni · Chi Jin · Michael Jordan
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Poster
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Wed 21:00
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Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni · Chi Jin · Michael Jordan
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Poster
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Wed 9:00
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A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru · Jean Honorio
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Spotlight
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Wed 6:25
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A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru · Jean Honorio
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Oral
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Wed 5:00
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Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Ayush Jain · Alon Orlitsky
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Poster
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Wed 9:00
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Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Ayush Jain · Alon Orlitsky
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