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97 Results
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Poster
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Tue 9:00 |
Single Loop Gaussian Homotopy Method for Non-convex Optimization Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda |
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Poster
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Thu 14:00 |
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau |
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Poster
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Thu 9:00 |
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization Kumar Kshitij Patel · Lingxiao Wang · Blake Woodworth · Brian Bullins · Nati Srebro |
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Poster
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Tue 9:00 |
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi |
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Poster
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Thu 9:00 |
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients Hualin Zhang · Huan Xiong · Bin Gu |
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Poster
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Wed 9:00 |
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays Konstantin Mishchenko · Francis Bach · Mathieu Even · Blake Woodworth |
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Poster
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Tue 14:00 |
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias Itay Safran · Gal Vardi · Jason Lee |
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Poster
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Thu 14:00 |
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization Ali Kavis · Stratis Skoulakis · Kimon Antonakopoulos · Leello Tadesse Dadi · Volkan Cevher |
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Poster
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Wed 9:00 |
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs Linjian Ma · Edgar Solomonik |
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Poster
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Thu 14:00 |
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound Liam O'Carroll · Vaidehi Srinivas · Aravindan Vijayaraghavan |
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Poster
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Thu 9:00 |
Non-convex online learning via algorithmic equivalence Udaya Ghai · Zhou Lu · Elad Hazan |
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Poster
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Tue 14:00 |
Online PAC-Bayes Learning Maxime Haddouche · Benjamin Guedj |