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picture by Emmanuel Huybrechts


We welcome you to participate in the 10th NIPS Workshop on Optimization for Machine Learning, to be held at Long Beach, USA on Dec 8th, 2017. Location: Hall A


Time Speaker Title
8:50am-9:00amOrganizers Opening Remarks
9:00am-9:45amLeon Bottou TBA[abstract]
9:45am-10:30amYurii Nesterov Detecting communities by voting model[abstract]
10:30am-11:00amPOSTER SESSION (including coffee break 10:30am - 11:00am)
11:00am-11:15amYossi Arjevani, Ohad Shamir and Ron Shiff Oracle Complexity of Second-Order Methods for Smooth Convex Optimization
11:15am-11:30amDong Yin, Ashwin Pananjady, Max Lam, Dimitris Papailiopoulos, Kannan Ramchandran and Peter Bartlett Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
11:30am-12:15pmFrancis Bach Stochastic gradient methods with exponential convergence of testing errors[abstract]
12:15pm-2:00pmLunch Break
2:00pm-2:45pmDimitri Bertsekas TD(lambda) and the Proximal Algorithm[abstract]
2:45pm-3:00pmYair Carmon, John Duchi, Oliver Hinder and Aaron Sidford Lower Bounds for Finding Stationary Points of Non-Convex, Smooth High-Dimensional Functions
3:00pm-3:30pmPOSTER SESSION (including coffee break 3:00pm - 3:30pm)
3:30pm-4:15pmPablo Parrilo TBA[abstract]
4:15pm-4:30pmMichael Cohen, Chinmay Hegde, Stefanie Jegelka and Ludwig Schmidt Efficiently Optimizing over (Non-Convex) Cones via Approximate Projections
4:30pm-6:30pmPOSTER SESSION