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Poster
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Thu 7:30
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Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Marc Abeille · Louis Faury · Clement Calauzenes
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Poster
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Wed 6:00
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On the Memory Mechanism of Tensor-Power Recurrent Models
Hejia Qiu · Chao Li · Ying Weng · Zhun Sun · Xingyu He · Qibin Zhao
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Poster
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Tue 18:30
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One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu · Jiaming Xu
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Poster
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Tue 18:30
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Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori · Keiko Sasada · Hirotaka Matsui · Issei Sato
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Oral
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Tue 11:30
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Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge
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Poster
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Wed 6:00
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Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
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Poster
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Wed 6:00
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Sequential Random Sampling Revisited: Hidden Shuffle Method
Michael Shekelyan · Graham Cormode
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Oral
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Wed 11:30
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Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper
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Poster
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Thu 7:30
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Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper
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Oral
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Wed 9:15
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Logistic Q-Learning
Joan Bas Serrano · Sebastian Curi · Andreas Krause · Gergely Neu
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Poster
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Wed 6:00
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A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
Samet Oymak · Talha Cihad Gulcu
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Poster
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Tue 14:00
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The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
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