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Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #194
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu · Tianyu Ding · Daniel Robinson · Manolis Tsakiris · RenĂ© Vidal
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #195
Competitive Gradient Descent
Florian Schaefer · Anima Anandkumar
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #196
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Rixon Crane · Fred Roosta
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #197
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Huizhuo Yuan · Xiangru Lian · Chris Junchi Li · Ji Liu · Wenqing Hu
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #198
Efficiently avoiding saddle points with zero order methods: No gradients required
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #199
Escaping from saddle points on Riemannian manifolds
Yue Sun · Nicolas Flammarion · Maryam Fazel
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #200
Exponentially convergent stochastic k-PCA without variance reduction
Cheng Tang
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #201
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Ioannis Panageas · Georgios Piliouras · Xiao Wang
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #202
Learning Sparse Distributions using Iterative Hard Thresholding
Jacky Y Zhang · Rajiv Khanna · Anastasios Kyrillidis · Oluwasanmi Koyejo
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #203
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #204
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #205
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed · Maziar Sanjabi · Tianjian Huang · Jason Lee · Meisam Razaviyayn
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #207
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Qing Qu · Xiao Li · Zhihui Zhu
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #208
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
Mehmet Fatih Sahin · Armin eftekhari · Ahmet Alacaoglu · Fabian Latorre · Volkan Cevher
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #209
Bayesian Optimization with Unknown Search Space
Huong Ha · Santu Rana · Sunil Gupta · Thanh Nguyen · Hung Tran-The · Svetha Venkatesh
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #210
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #211
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng · Ziyue Huang · James Kwok
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #212
Distributed Low-rank Matrix Factorization With Exact Consensus
Zhihui Zhu · Qiuwei Li · Xinshuo Yang · Gongguo Tang · Michael B Wakin
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #213
Efficient Algorithms for Smooth Minimax Optimization
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #214
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky · Francesco Orabona
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #215
Provable Non-linear Inductive Matrix Completion
Kai Zhong · Zhao Song · Prateek Jain · Inderjit S Dhillon
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #216
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu · Shoichiro Yamaguchi · Yoh-ichi Mototake · Mirai Tanaka
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #217
Shadowing Properties of Optimization Algorithms
Antonio Orvieto · Aurelien Lucchi