Papers citing 'Regularization Techniques for Learning with Matrices'

Title
Towards Efficient Contrastive PAC Learning Jie Shen 85 0 0 21 Feb 2025
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 218 0 0 11 Jun 2024
Online Sequential Decision-Making with Unknown Delays Ping Wu Heyan Huang Zhengyang Liu 102 3 0 12 Feb 2024
Learning in quantum games Kyriakos Lotidis P. Mertikopoulos Nicholas Bambos 94 7 0 05 Feb 2023
Optimistic Optimisation of Composite Objective with Exponentiated Update Weijia Shao F. Sivrikaya S. Albayrak 145 3 0 08 Aug 2022
AdaTask: Adaptive Multitask Online Learning Pierre Laforgue Andrea Della Vecchia Nicolò Cesa-Bianchi Lorenzo Rosasco 96 2 0 31 May 2022
Multitask Online Mirror Descent Nicolò Cesa-Bianchi Pierre Laforgue Andrea Paudice Massimiliano Pontil LRM 89 6 0 04 Jun 2021
Implicit Regularization in Matrix Sensing via Mirror Descent Fan Wu Patrick Rebeschini 95 11 0 28 May 2021
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Matthias Kirchler 101 11 0 29 Apr 2021
Decomposable Submodular Function Minimization via Maximum Flow Kyriakos Axiotis Adam Karczmarz A. Mukherjee Piotr Sankowski Adrian Vladu 56 9 0 05 Mar 2021
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 108 143 0 04 Jul 2020
Online mirror descent and dual averaging: keeping pace in the dynamic case Huang Fang Nicholas J. A. Harvey V. S. Portella M. Friedlander 158 36 0 03 Jun 2020
Robust Online Learning for Resource Allocation -- Beyond Euclidean Projection and Dynamic Fit Ezra Tampubolon Holger Boche 78 2 0 21 Oct 2019
Generalization Bounds in the Predict-then-Optimize Framework Othman El Balghiti Adam N. Elmachtoub Paul Grigas Ambuj Tewari 135 71 0 27 May 2019
Uniform concentration and symmetrization for weak interactions Andreas Maurer Massimiliano Pontil 79 12 0 05 Feb 2019
Exponentiated Gradient Meets Gradient Descent Udaya Ghai Elad Hazan Y. Singer 101 50 0 05 Feb 2019
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning Léo Miolane Andrea Montanari 145 96 0 03 Nov 2018
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu Sujay Sanghavi A. Dimakis 115 51 0 28 Oct 2018
Uniform Convergence of Gradients for Non-Convex Learning and Optimization Dylan J. Foster Ayush Sekhari Karthik Sridharan 123 72 0 25 Oct 2018
Handling Concept Drift via Model Reuse Peng Zhao Le-Wen Cai Zhi Zhou 99 60 0 08 Sep 2018
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms Dylan J. Foster A. Krishnamurthy 207 18 0 28 Jun 2018
Convergence of Online Mirror Descent Yunwen Lei Ding-Xuan Zhou 102 23 0 18 Feb 2018
Spectral Filtering for General Linear Dynamical Systems Elad Hazan Holden Lee Karan Singh Cyril Zhang Yi Zhang 148 103 0 12 Feb 2018
Optimizing Non-decomposable Measures with Deep Networks Amartya Sanyal Pawan Kumar Purushottam Kar Sanjay Chawla Fabrizio Sebastiani 100 28 0 31 Jan 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 207 62 0 30 Dec 2017
Smooth and Sparse Optimal Transport Mathieu Blondel Vivien Seguy Antoine Rolet OT 152 183 0 17 Oct 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 706 2,384 0 25 Jul 2017
Distributed Robust Subspace Recovery Vahan Huroyan Gilad Lerman 75 2 0 25 May 2017
A Regularized Framework for Sparse and Structured Neural Attention Vlad Niculae Mathieu Blondel 144 102 0 22 May 2017
Bounds for Vector-Valued Function Estimation Andreas Maurer Massimiliano Pontil 89 7 0 05 Jun 2016
Distributed stochastic optimization via matrix exponential learning P. Mertikopoulos E. V. Belmega Romain Negrel L. Sanguinetti 85 44 0 03 Jun 2016
A vector-contraction inequality for Rademacher complexities Andreas Maurer 126 265 0 01 May 2016
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning Niloofar Yousefi Yunwen Lei Matthias Kirchler M. Mollaghasemi G. Anagnostopoulos 151 29 0 18 Feb 2016
Tight Bounds for Approximate Carathéodory and Beyond Vahab Mirrokni R. Leme Adrian Vladu Sam Chiu-wai Wong 92 33 0 29 Dec 2015
An algorithm for online tensor prediction John Pothier Josh Girson Shuchin Aeron 3DV 45 4 0 28 Jul 2015
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms Yunwen Lei Ürün Dogan Alexander Binder Matthias Kirchler 102 58 0 14 Jun 2015
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 198 389 0 23 May 2015
The Learnability of Unknown Quantum Measurements Hao-Chung Cheng Min-hsiu Hsieh Ping-Cheng Yeh 113 40 0 03 Jan 2015
Fast Rates by Transferring from Auxiliary Hypotheses Ilja Kuzborskij Francesco Orabona 173 65 0 04 Dec 2014
A chain rule for the expected suprema of Gaussian processes Andreas Maurer 106 24 0 10 Nov 2014
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality Vikas Sindhwani H. Q. Minh A. Lozano 167 59 0 09 Aug 2014
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets Dan Garber Elad Hazan 203 198 0 05 Jun 2014
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes 144 23 0 08 Feb 2014
A continuous-time approach to online optimization Joon Kwon P. Mertikopoulos CLL 154 54 0 27 Jan 2014
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds Cong Li M. Georgiopoulos G. Anagnostopoulos 112 13 0 09 Dec 2013
Large-scale Multi-label Learning with Missing Labels Hsiang-Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon MQ 163 494 0 18 Jul 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage R. Nadakuditi 302 167 0 25 Jun 2013
Guaranteed Classification via Regularized Similarity Learning Zheng-Chu Guo Yiming Ying 143 38 0 13 Jun 2013
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions Purushottam Kar Bharath K. Sriperumbudur Prateek Jain H. Karnick 123 112 0 11 May 2013
A Generalized Online Mirror Descent with Applications to Classification and Regression Francesco Orabona K. Crammer Nicolò Cesa-Bianchi 275 80 0 10 Apr 2013