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Poster
Thu 10:45 Practical Two-Step Lookahead Bayesian Optimization
Jian Wu · Peter Frazier
Poster
Tue 10:45 Stagewise Training Accelerates Convergence of Testing Error Over SGD
Zhuoning Yuan · Yan Yan · Rong Jin · Tianbao Yang
Poster
Wed 10:45 A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
Poster
Thu 10:45 First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Ioannis Panageas · Georgios Piliouras · Xiao Wang
Poster
Thu 17:00 Are deep ResNets provably better than linear predictors?
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
Poster
Wed 17:00 Möbius Transformation for Fast Inner Product Search on Graph
Zhixin Zhou · Shulong Tan · Zhaozhuo Xu · Ping Li
Poster
Wed 17:00 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
Ashia Wilson · Lester Mackey · Andre Wibisono
Poster
Thu 10:45 Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
Poster
Thu 17:00 Piecewise Strong Convexity of Neural Networks
Tristan Milne
Poster
Thu 10:45 Imitation-Projected Programmatic Reinforcement Learning
Abhinav Verma · Hoang Le · Yisong Yue · Swarat Chaudhuri
Poster
Thu 10:45 Trivializations for Gradient-Based Optimization on Manifolds
Mario Lezcano Casado
Poster
Tue 10:45 An Improved Analysis of Training Over-parameterized Deep Neural Networks
Difan Zou · Quanquan Gu