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Poster
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Tue 14:00
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A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
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Workshop
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A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Liu Yang · Jifan Zhang · Joseph Shenouda · Dimitris Papailiopoulos · Kangwook Lee · Robert Nowak
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Poster
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Tue 14:00
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Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Benjamin Dubois-Taine · Francis Bach · Quentin Berthet · Adrien Taylor
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Poster
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Wed 9:00
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Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang · Liu Liu · Min-Hsiu Hsieh · Dacheng Tao
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Workshop
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Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
Erica Cai · Andrew McGregor · David Jensen
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Poster
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Thu 9:00
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Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
Abdurakhmon Sadiev · Dmitry Kovalev · Peter Richtarik
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Poster
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Wed 14:00
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Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
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Workshop
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A Novel Stochastic Gradient Descent Algorithm for LearningPrincipal Subspaces
Charline Le Lan · Joshua Greaves · Jesse Farebrother · Mark Rowland · Fabian Pedregosa · Rishabh Agarwal · Marc Bellemare
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Poster
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Wed 9:00
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Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
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Poster
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Wed 14:00
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Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb · Kent Quanrud · Chandra Chekuri
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Poster
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Thu 9:00
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CCCP is Frank-Wolfe in disguise
Alp Yurtsever · Suvrit Sra
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