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614 Results
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Oral Session
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Thu 6:45 |
Oral: Probabilistic Methods |
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Oral Session
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Sat 1:30 |
Oral: Deep Learning |
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Poster
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Fri 8:00 |
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games Yang Cai · Haipeng Luo · Chen-Yu Wei · Weiqiang Zheng |
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Poster
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Thu 8:00 |
On-Demand Federated Learning for Arbitrary Target Class Distributions Isu Jeong · Seulki Lee |
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Poster
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Fri 8:00 |
Analysis of Using Sigmoid Loss for Contrastive Learning Chungpa Lee · Joonhwan Chang · Jy-yong Sohn |
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Poster
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Sat 6:00 |
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Xingchen Wan · Vu Nguyen · Harald Oberhauser · Michael A. Osborne |
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Poster
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Sat 6:00 |
Sharpened Lazy Incremental Quasi-Newton Method Aakash Sunil Lahoti · Spandan Senapati · Ketan Rajawat · Alec Koppel |
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Poster
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Fri 8:00 |
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks Kaiting Liu · Zahra Atashgahi · Ghada Sokar · Mykola Pechenizkiy · Decebal Constantin Mocanu |
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Remarks
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Wed 23:45 |
Opening Remarks |
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Poster
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Sat 6:00 |
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks Waleed Mustafa · Philipp Liznerski · Antoine Ledent · Dennis Wagner · Puyu Wang · Marius Kloft |
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Poster
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Fri 8:00 |
DiffRed: Dimensionality reduction guided by stable rank · Gagan Gupta · Kunal Dutta |
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Poster
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Fri 8:00 |
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks Ben Batten · Mehran Hosseini · Alessio Lomuscio |