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Poster
Mon 9:00 Stochastic Three-Composite Convex Minimization
Alp Yurtsever · Bang Cong Vu · Volkan Cevher
Poster
Tue 9:00 Stochastic Gradient Geodesic MCMC Methods
Chang Liu · Jun Zhu · Yang Song
Poster
Tue 9:00 The Generalized Reparameterization Gradient
Francisco Ruiz · Michalis Titsias · David Blei
Poster
Mon 9:00 Threshold Bandits, With and Without Censored Feedback
Jacob D Abernethy · Kareem Amin · Ruihao Zhu
Poster
Wed 9:00 CMA-ES with Optimal Covariance Update and Storage Complexity
Oswin Krause · Dídac Rodríguez Arbonès · Christian Igel
Poster
Mon 9:00 A Simple Practical Accelerated Method for Finite Sums
Aaron Defazio
Poster
Wed 9:00 Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky · Kwabena A Boahen
Poster
Wed 9:00 Tight Complexity Bounds for Optimizing Composite Objectives
Blake Woodworth · Nati Srebro
Poster
Tue 9:00 Coresets for Scalable Bayesian Logistic Regression
Jonathan Huggins · Trevor Campbell · Tamara Broderick
Poster
Wed 9:00 Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee · John Duchi · John Lafferty · Yuancheng Zhu
Poster
Wed 9:00 Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan · Shiqian Ma · Yu-Hong Dai · Yuqiu Qian
Poster
Wed 9:00 Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Zeyuan Allen-Zhu · Yang Yuan · Karthik Sridharan