|
Workshop
|
Fri 9:00
|
DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang
|
|
|
Workshop
|
Fri 6:30
|
Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
|
|
|
Workshop
|
|
DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang · Jiang Bo · Chang He · Yuntian Jiang · Dongdong Ge · Yinyu Ye
|
|
|
Poster
|
Thu 14:00
|
Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
|
|
|
Poster
|
Tue 14:00
|
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
|
|
|
Workshop
|
|
Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
|
|
|
Poster
|
Tue 9:00
|
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Saeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran
|
|
|
Workshop
|
|
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo · Pin-Yu Chen
|
|
|
Poster
|
Tue 14:00
|
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev · Alexander Gasnikov
|
|
|
Poster
|
Wed 14:00
|
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
Ilyas Fatkhullin · Jalal Etesami · Niao He · Negar Kiyavash
|
|
|
Poster
|
Tue 9:00
|
Single Loop Gaussian Homotopy Method for Non-convex Optimization
Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda
|
|
|
Poster
|
Thu 9:00
|
Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
|
|
