Highly-Smooth Zero-th Order Online Optimization Vianney Perchet

26 May 2016

Papers citing "Highly-Smooth Zero-th Order Online Optimization Vianney Perchet"

12 / 12 papers shown

Title
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Zhendong Mi Qitao Tan Xiaodong Yu Zining Zhu Geng Yuan Shaoyi Huang 177 0 0 24 May 2025
Gradient-free stochastic optimization for additive models A. Akhavan Alexandre B. Tsybakov 133 0 0 03 Mar 2025
Logistic Regression: Tight Bounds for Stochastic and Online Optimization Elad Hazan Tomer Koren Kfir Y. Levy 52 61 0 15 May 2014
On Zeroth-Order Stochastic Convex Optimization via Random Walks Tengyuan Liang Hariharan Narayanan Alexander Rakhlin 57 24 0 11 Feb 2014
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 72 486 0 07 Dec 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Eric Moulines 87 405 0 10 Jun 2013
Query Complexity of Derivative-Free Optimization Kevin Jamieson Robert D. Nowak Benjamin Recht 155 159 0 11 Sep 2012
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization Ohad Shamir 371 193 0 11 Sep 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 187 583 0 12 Sep 2011
Stochastic convex optimization with bandit feedback Alekh Agarwal Dean Phillips Foster Daniel J. Hsu Sham Kakade Alexander Rakhlin 161 240 0 08 Jul 2011
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade Ohad Shamir Karthik Sindharan Ambuj Tewari 226 77 0 31 Oct 2009
Self-concordant analysis for logistic regression Francis R. Bach 200 208 0 24 Oct 2009