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26 Results
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Poster
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Tue 2:30 |
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel · Tatsunori Hashimoto · Graham Neubig |
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Poster
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Mon 18:30 |
On Robust Prefix-Tuning for Text Classification Zonghan Yang · Yang Liu |
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Poster
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Tue 18:30 |
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Anh Bui · Trung Le · Quan Tran · He Zhao · Dinh Phung |
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Poster
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Wed 2:30 |
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun · Shashank Rajput · Suvrit Sra |
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Oral
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Tue 2:00 |
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun · Shashank Rajput · Suvrit Sra |
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Poster
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Tue 10:30 |
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT Huan Liu · George Zhang · Jun Chen · Ashish Khisti |
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Spotlight
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Mon 2:30 |
IntSGD: Adaptive Floatless Compression of Stochastic Gradients Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik |
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Poster
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Mon 2:30 |
IntSGD: Adaptive Floatless Compression of Stochastic Gradients Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik |
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Poster
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Tue 10:30 |
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs Sitan Chen · Jerry Li · Yuanzhi Li · Raghu Meka |
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Poster
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Thu 10:30 |
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning Charlie Hou · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh |
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Oral
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Wed 9:30 |
A Fine-Grained Analysis on Distribution Shift Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil |
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Poster
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Mon 2:30 |
A Fine-Grained Analysis on Distribution Shift Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil |