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Poster
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Wed 13:00
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A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasiia Koloskova · Nicolas Loizou · Sadra Boreiri · Martin Jaggi · Sebastian Stich
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Poster
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Wed 12:00
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Curvature-corrected learning dynamics in deep neural networks
Dongsung Huh
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Poster
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Wed 5:00
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Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang · Horng-Tzer Yau
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Poster
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Thu 8:00
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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang
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Poster
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Thu 8:00
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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin
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Poster
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Tue 7:00
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Searching to Exploit Memorization Effect in Learning with Noisy Labels
QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok
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Poster
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Tue 14:00
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On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi · Luca Franceschi · Massimiliano Pontil · Saverio Salzo
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Poster
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Tue 18:00
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Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Shion Takeno · Hitoshi Fukuoka · Yuhki Tsukada · Toshiyuki Koyama · Motoki Shiga · Ichiro Takeuchi · Masayuki Karasuyama
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Workshop
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Sat 9:00
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Optimal Query Complexity of Secure Stochastic Convex Optimization by Wei Tang
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Poster
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Thu 6:00
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Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Shaocong Ma · Yi Zhou
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Poster
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Tue 7:00
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
Runchao Ma · Qihang Lin · Tianbao Yang
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Poster
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Tue 12:00
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IPBoost – Non-Convex Boosting via Integer Programming
Marc Pfetsch · Sebastian Pokutta
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