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Poster
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Mon 9:00
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Optimistic Bandit Convex Optimization
Scott Yang · Mehryar Mohri
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Poster
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Mon 9:00
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Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang · Sashank J. Reddi · Suvrit Sra
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Poster
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Wed 9:00
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A scaled Bregman theorem with applications
Richard Nock · Aditya Menon · Cheng Soon Ong
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Poster
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Wed 9:00
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Without-Replacement Sampling for Stochastic Gradient Methods
Ohad Shamir
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Oral
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Wed 7:20
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Without-Replacement Sampling for Stochastic Gradient Methods
Ohad Shamir
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Poster
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Tue 9:00
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Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
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Poster
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Tue 9:00
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Constraints Based Convex Belief Propagation
Yaniv Tenzer · Alex Schwing · Kevin Gimpel · Tamir Hazan
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Poster
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Wed 9:00
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Split LBI: An Iterative Regularization Path with Structural Sparsity
Chendi Huang · Xinwei Sun · Jiechao Xiong · Yuan Yao
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Poster
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Wed 9:00
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Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky · Kwabena A Boahen
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Poster
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Wed 9:00
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Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan · Shiqian Ma · Yu-Hong Dai · Yuqiu Qian
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Poster
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Wed 9:00
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Designing smoothing functions for improved worst-case competitive ratio in online optimization
Reza Eghbali · Maryam Fazel
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Poster
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Mon 9:00
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High-Rank Matrix Completion and Clustering under Self-Expressive Models
Ehsan Elhamifar
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