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Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent

2 April 2020

Papers citing "Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent"

20 / 20 papers shown

Title
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms Andrzej Cichocki 11 0 0 08 Jun 2025
Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms Andrzej Cichocki Toshihisa Tanaka S. Cruces 102 1 0 11 Mar 2025
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies Tobias Wegel Gil Kur Patrick Rebeschini 90 0 0 05 Mar 2025
A Mirror Descent Perspective of Smoothed Sign Descent Shuyang Wang Diego Klabjan 75 1 0 18 Oct 2024
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning D. Kunin Allan Raventós Clémentine Dominé Feng Chen David Klindt Andrew M. Saxe Surya Ganguli MLT 127 18 0 10 Jun 2024
A Challenge in Reweighting Data with Bilevel Optimization Anastasia Ivanova Pierre Ablin 115 1 0 26 Oct 2023
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices Guillaume Wang Lénaïc Chizat 59 0 0 26 May 2023
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning Aymeric Dieuleveut G. Fort Eric Moulines Hoi-To Wai 74 12 0 22 Feb 2023
Iterative regularization in classification via hinge loss diagonal descent Vassilis Apidopoulos T. Poggio Lorenzo Rosasco S. Villa 61 2 0 24 Dec 2022
Information Geometry of Dynamics on Graphs and Hypergraphs Tetsuya J. Kobayashi Dimitri Loutchko A. Kamimura Shuhei A. Horiguchi Yuki Sughiyama AI4CE 46 10 0 26 Nov 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Satyen Kale Jason D. Lee Chris De Sa Ayush Sekhari Karthik Sridharan 42 4 0 13 Oct 2022
Conformal Mirror Descent with Logarithmic Divergences Amanjit Kainth Ting-Kam Leonard Wong Frank Rudzicz 68 4 0 07 Sep 2022
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent Zhiyuan Li Tianhao Wang Jason D. Lee Sanjeev Arora 100 29 0 08 Jul 2022
Non-convex online learning via algorithmic equivalence Udaya Ghai Zhou Lu Elad Hazan 87 11 0 30 May 2022
Smooth over-parameterized solvers for non-smooth structured optimization C. Poon Gabriel Peyré 99 19 0 03 May 2022
More is Less: Inducing Sparsity via Overparameterization H. Chou J. Maly Holger Rauhut 136 25 0 21 Dec 2021
Approximate Newton policy gradient algorithms Haoya Li Samarth Gupta Hsiangfu Yu Lexing Ying Inderjit Dhillon 70 3 0 05 Oct 2021
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm S. Khodadadian Thinh T. Doan Justin Romberg S. T. Maguluri 95 43 0 26 Jan 2021
Efficient constrained sampling via the mirror-Langevin algorithm Kwangjun Ahn Sinho Chewi 117 57 0 30 Oct 2020
The role of optimization geometry in single neuron learning Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 40 1 0 15 Jun 2020