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132 Results
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Poster
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Thu 6:00 |
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems Guangzeng Xie · Luo Luo · yijiang lian · Zhihua Zhang |
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Poster
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Wed 15:00 |
DINO: Distributed Newton-Type Optimization Method Rixon Crane · Fred Roosta |
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Poster
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Thu 13:00 |
Topic Modeling via Full Dependence Mixtures Dan Fisher · Mark Kozdoba · Shie Mannor |
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Poster
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Wed 10:00 |
Quantized Decentralized Stochastic Learning over Directed Graphs Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani |
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Poster
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Wed 10:00 |
Continuous-time Lower Bounds for Gradient-based Algorithms Michael Muehlebach · Michael Jordan |
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Poster
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Thu 14:00 |
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models Aytunc Sahin · Yatao Bian · Joachim Buhmann · Andreas Krause |
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Poster
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Tue 7:00 |
Towards Understanding the Dynamics of the First-Order Adversaries Zhun Deng · Hangfeng He · Jiaoyang Huang · Weijie Su |
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Poster
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Wed 5:00 |
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? Hongchang Gao · Heng Huang |
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Poster
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Wed 14:00 |
Explicit Gradient Learning for Black-Box Optimization Elad Sarafian · Mor Sinay · yoram louzoun · Noa Agmon · Sarit Kraus |
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Poster
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Wed 5:00 |
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu · Yuzheng Hu · Yihan He · Jiawei Jiang · Yingxia Shao · Ce Zhang · Bin Cui |
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Poster
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Wed 13:00 |
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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Tue 10:00 |
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh |