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Composite convex minimization involving self-concordant-like cost
  functions
v1v2 (latest)

Composite convex minimization involving self-concordant-like cost functions

4 February 2015
Quoc Tran-Dinh
Yen-Huan Li
Volkan Cevher
ArXiv (abs)PDFHTML

Papers citing "Composite convex minimization involving self-concordant-like cost functions"

11 / 11 papers shown
Title
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee
Min-hwan Oh
93
7
0
16 May 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via
  Regret-to-Confidence-Set Conversion
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
118
13
0
28 Oct 2023
Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning
Achraf Bahamou
Shiqian Ma
ODL
103
0
0
23 May 2023
Dynamic pricing and assortment under a contextual MNL demand
Dynamic pricing and assortment under a contextual MNL demand
Vineet Goyal
Noémie Périvier
73
19
0
19 Oct 2021
Efficient Methods for Online Multiclass Logistic Regression
Efficient Methods for Online Multiclass Logistic Regression
Naman Agarwal
Satyen Kale
Julian Zimmert
60
10
0
06 Oct 2021
Exponential Weights Algorithms for Selective Learning
Exponential Weights Algorithms for Selective Learning
Mingda Qiao
Gregory Valiant
49
2
0
29 Jun 2021
Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple
  Steps
Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple Steps
Alejandro Carderera
Mathieu Besançon
Sebastian Pokutta
106
6
0
28 May 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani
Christos Thrampoulidis
82
10
0
21 Mar 2021
A likelihood-based approach for multivariate categorical response
  regression in high dimensions
A likelihood-based approach for multivariate categorical response regression in high dimensions
Aaron J. Molstad
Adam J. Rothman
71
6
0
15 Jul 2020
A Dynamic Sampling Adaptive-SGD Method for Machine Learning
A Dynamic Sampling Adaptive-SGD Method for Machine Learning
Achraf Bahamou
Shiqian Ma
ODL
39
2
0
31 Dec 2019
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods
Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods
Tianxiao Sun
Quoc Tran-Dinh
69
62
0
14 Mar 2017
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