Poster

Tue 2:30

Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel · Julien Mairal

Poster

Thu 2:30

Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park · Kyungjae Lee · Junseok Kwon

Poster

Thu 2:30

High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Ali Kavis · Kfir Y Levy · Volkan Cevher

Spotlight

Mon 2:30

IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik

Poster

Mon 2:30

IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik

Poster

Thu 10:30

On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin · Yu XING · Xingkang He

Poster

Thu 18:30

Shuffle Private Stochastic Convex Optimization
Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng

Poster

Tue 18:30

A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
Fuchao Wei · Chenglong Bao · Yang Liu

Poster

Wed 18:30

Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
Kazusato Oko · Taiji Suzuki · Atsushi Nitanda · Denny Wu

Poster

Tue 18:30

Neural Stochastic Dual Dynamic Programming
Hanjun Dai · Yuan Xue · Zia Syed · Dale Schuurmans · Bo Dai