Risk and parameter convergence of logistic regression

20 March 2018

Papers citing "Risk and parameter convergence of logistic regression"

11 / 11 papers shown

Title
Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes Ruiqi Zhang Jingfeng Wu Licong Lin Peter L. Bartlett 48 0 0 05 Apr 2025
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations Yize Zhao Tina Behnia V. Vakilian Christos Thrampoulidis 124 10 0 20 Feb 2025
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks Sholom Schechtman Nicolas Schreuder 383 0 0 08 Feb 2025
Grokking at the Edge of Numerical Stability Lucas Prieto Melih Barsbey Pedro A.M. Mediano Tolga Birdal 101 3 0 08 Jan 2025
Implicit Bias and Fast Convergence Rates for Self-attention Bhavya Vasudeva Puneesh Deora Christos Thrampoulidis 49 18 0 08 Feb 2024
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods R. Freund Paul Grigas Rahul Mazumder 48 10 0 20 Oct 2018
Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson Jason D. Lee Suriya Gunasekar Pedro H. P. Savarese Nathan Srebro Daniel Soudry 60 167 0 05 Mar 2018
Characterizing Implicit Bias in Terms of Optimization Geometry Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro AI4CE 62 404 0 22 Feb 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 77 908 0 27 Oct 2017
Coin Betting and Parameter-Free Online Learning Francesco Orabona D. Pál 93 165 0 12 Feb 2016
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 65 89 0 09 Nov 2012