Poster

Tue 14:00

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi

Poster

Wed 14:00

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov · Marina Danilova · David Dobre · Pavel Dvurechenskii · Alexander Gasnikov · Gauthier Gidel

Workshop

Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound
Katya Scheinberg · Miaolan Xie

Poster

Tue 14:00

Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky

Poster

Thu 9:00

Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer · Dan Mikulincer · Ilias Zadik

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

Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
Changlong Wu · Mohsen Heidari · Ananth Grama · Wojciech Szpankowski

Poster

Thu 14:00

Integral Probability Metrics PAC-Bayes Bounds
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir

Poster

Thu 9:00

Nearly-Tight Bounds for Testing Histogram Distributions
Clément L Canonne · Ilias Diakonikolas · Daniel Kane · Sihan Liu