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Poster
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Wed 5:00
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Moniqua: Modulo Quantized Communication in Decentralized SGD
Yucheng Lu · Christopher De Sa
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Poster
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Tue 14:00
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Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
Reinhard Heckel · Mahdi Soltanolkotabi
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Poster
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Thu 6:00
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Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Guanyi Wang · Santanu Dey
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Poster
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Wed 10:00
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Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
Mert Pilanci · Tolga Ergen
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Poster
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Thu 6:00
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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
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DINO: Distributed Newton-Type Optimization Method
Rixon Crane · Fred Roosta
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Poster
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Thu 13:00
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Topic Modeling via Full Dependence Mixtures
Dan Fisher · Mark Kozdoba · Shie Mannor
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Poster
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Wed 10:00
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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
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Continuous-time Lower Bounds for Gradient-based Algorithms
Michael Muehlebach · Michael Jordan
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Poster
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Thu 14:00
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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
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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
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Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
Hongchang Gao · Heng Huang
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