|
Poster
|
|
A Unified Convergence Theorem for Stochastic Optimization Methods
Xiao Li · Andre Milzarek
|
|
|
Poster
|
Wed 14:00
|
On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
|
|
|
Poster
|
Tue 9:00
|
On the Complexity of Adversarial Decision Making
Dylan J Foster · Alexander Rakhlin · Ayush Sekhari · Karthik Sridharan
|
|
|
Poster
|
Tue 9:00
|
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
|
|
|
Poster
|
Tue 14:00
|
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Kiwon Lee · Andrew Cheng · Elliot Paquette · Courtney Paquette
|
|
|
Poster
|
Wed 14:00
|
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou · Kyriakos Lotidis · Panayotis Mertikopoulos · Emmanouil-Vasileios Vlatakis-Gkaragkounis
|
|
|
Poster
|
Tue 9:00
|
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
|
|
|
Poster
|
Wed 14:00
|
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt · Viktor Bengs · Björn Haddenhorst · Eyke Hüllermeier
|
|
|
Workshop
|
|
Decentralized Stochastic Optimization with Client Sampling
Ziwei Liu · Anastasiia Koloskova · Martin Jaggi · Tao Lin
|
|
|
Workshop
|
|
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
Kaiwen Zhou · Anthony Man-Cho So · James Cheng
|
|
|
Workshop
|
Fri 11:30
|
Deterministically Constrained Stochastic Optimization
Frank E. Curtis
|
|
|
Workshop
|
|
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov · Eduard Gorbunov · Hugo Berard · Nicolas Loizou
|
|
