Normalized Online Learning

9 August 2014

Papers citing "Normalized Online Learning"

32 / 32 papers shown

Title
Comparing Normalization Methods for Portfolio Optimization with Reinforcement Learning Caio de Souza Barbosa Costa Anna Helena Reali Costa 25 0 0 05 Aug 2025
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis Rohit Agarwal Arijit Das Alexander Horsch Krishna Agarwal Dilip K. Prasad 78 2 0 07 Apr 2024
Scale-free Unconstrained Online Learning for Curved Losses J. Mayo Hédi Hadiji T. Erven 138 15 0 11 Feb 2022
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR Dheeraj Baby Hilaf Hasson Yuyang Wang 105 3 0 22 Nov 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination Dylan J. Foster A. Krishnamurthy 135 50 0 05 Jul 2021
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective Dylan J. Foster Alexander Rakhlin D. Simchi-Levi Yunzong Xu 187 79 0 07 Oct 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 179 59 0 27 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 99 145 0 25 Feb 2020
Adaptive Online Learning with Varying Norms Ashok Cutkosky 65 0 0 10 Feb 2020
Accelerated learning from recommender systems using multi-armed bandit Meisam Hejazinia Kyler M. Eastman Shu Ye A. Amirabadi Ravi Divvela 168 3 0 16 Aug 2019
LdSM: Logarithm-depth Streaming Multi-label Decision Trees Maryam Majzoubi A. Choromańska 139 11 0 24 May 2019
Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning Ashok Cutkosky 77 4 0 24 Feb 2019
Combining Online Learning Guarantees Ashok Cutkosky 134 27 0 24 Feb 2019
Adaptive scale-invariant online algorithms for learning linear models Michal Kempka W. Kotłowski Manfred K. Warmuth 133 32 0 20 Feb 2019
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback Chicheng Zhang Alekh Agarwal Hal Daumé John Langford S. Negahban 135 37 0 02 Jan 2019
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control K. Young Baoxiang Wang Matthew E. Taylor OffRL 108 15 0 10 May 2018
Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky R. Busa-Fekete FedML 135 22 0 16 Feb 2018
A Contextual Bandit Bake-off A. Bietti Alekh Agarwal John Langford 457 110 0 12 Feb 2018
A Stochastic Trust Region Algorithm Based on Careful Step Normalization Frank E. Curtis K. Scheinberg R. Shi 122 47 0 29 Dec 2017
Scale-invariant unconstrained online learning W. Kotłowski 104 18 0 23 Aug 2017
Training Deep Networks without Learning Rates Through Coin Betting Francesco Orabona Tatiana Tommasi ODL 110 4 0 22 May 2017
Active Learning for Cost-Sensitive Classification A. Krishnamurthy Alekh Agarwal Tzu-Kuo Huang Hal Daumé John Langford 349 84 0 03 Mar 2017
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 619 3,333 0 15 Jun 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 126 174 0 24 Feb 2016
Efficient Second Order Online Learning by Sketching Haipeng Luo Alekh Agarwal Nicolò Cesa-Bianchi John Langford 148 97 0 06 Feb 2016
Scale-Free Online Learning Francesco Orabona D. Pál 161 107 0 08 Jan 2016
Learning to Search for Dependencies Kai-Wei Chang He He Hal Daumé John Langford 124 19 0 18 Mar 2015
Scale-Free Algorithms for Online Linear Optimization Francesco Orabona D. Pál ODL 142 53 0 19 Feb 2015
Learning Reductions that Really Work A. Beygelzimer Hal Daumé John Langford Paul Mineiro AI4CE 137 25 0 09 Feb 2015
Scalable Nonlinear Learning with Adaptive Polynomial Expansions Alekh Agarwal A. Beygelzimer Daniel J. Hsu John Langford Matus Telgarsky 105 5 0 02 Oct 2014
A Credit Assignment Compiler for Joint Prediction Kai-Wei Chang He He Hal Daumé John Langford Stéphane Ross 219 20 0 07 Jun 2014
A Generalized Online Mirror Descent with Applications to Classification and Regression Francesco Orabona K. Crammer Nicolò Cesa-Bianchi 295 80 0 10 Apr 2013