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71 Results
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Poster
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Wed 17:00 |
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin · Tianyi Zhou · Liangyu Zhao · Yibo Zhu · Chuanxiong Guo · Marco Canini · Arvind Krishnamurthy |
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Poster
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Wed 1:00 |
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning Samuel Horváth · Peter Richtarik |
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Workshop
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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely · Boxin Zhao · Mladen Kolar |
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Poster
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Tue 9:00 |
On the Origin of Implicit Regularization in Stochastic Gradient Descent Samuel Smith · Benoit Dherin · David Barrett · Soham De |
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Poster
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Tue 9:00 |
Learning a Latent Search Space for Routing Problems using Variational Autoencoders André Hottung · Bhanu Bhandari · Kevin Tierney |
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Poster
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Tue 1:00 |
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter |
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Poster
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Wed 9:00 |
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba · Josif Grabocka |
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Spotlight
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Tue 19:15 |
DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou |
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Poster
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Tue 17:00 |
DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou |
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Poster
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Tue 9:00 |
Uncertainty-aware Active Learning for Optimal Bayesian Classifier Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian |
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Poster
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Thu 17:00 |
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity Shaocong Ma · Ziyi Chen · Yi Zhou · Shaofeng Zou |
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Poster
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Mon 1:00 |
Overfitting for Fun and Profit: Instance-Adaptive Data Compression Ties van Rozendaal · Iris Huijben · Taco Cohen |