Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

48 Results

<<   <   Page 1 of 4   >   >>
Workshop
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Tecot · Cho-Jui Hsieh
Poster
Tue 15:15 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
Jun Chen · Hong Chen · Bin Gu · Hao Deng
Workshop
DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization
Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He
Poster
Tue 8:45 Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
Yuyang Qiu · Uday Shanbhag · Farzad Yousefian
Poster
Tue 8:45 Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
Nikita Kornilov · Ohad Shamir · Aleksandr Lobanov · Darina Dvinskikh · Alexander Gasnikov · Innokentiy Shibaev · Eduard Gorbunov · Samuel Horváth
Poster
Wed 8:45 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
Marco Rando · Cesare Molinari · Lorenzo Rosasco · Silvia Villa
Poster
Thu 8:45 Block Broyden's Methods for Solving Nonlinear Equations
Chengchang Liu · Cheng Chen · Luo Luo · John C.S. Lui
Poster
Tue 8:45 Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Sattar Vakili · Julia Olkhovskaya
Poster
Thu 8:45 Faster Differentially Private Convex Optimization via Second-Order Methods
Arun Ganesh · Mahdi Haghifam · Thomas Steinke · Abhradeep Guha Thakurta
Poster
Wed 8:45 Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg · Xinyi Chen · Y. Jennifer Sun · Rohan Anil · Elad Hazan
Workshop
Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models
Deqing Fu · Tian-qi Chen · Robin Jia · Vatsal Sharan
Workshop
A novel analysis of gradient descent under directional smoothness
Aaron Mishkin · Ahmed Khaled · Aaron Defazio · Robert Gower