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Journal of machine learning research, ISSN 1532-4435, 03/2011, Volume 12, pp. 1069 - 1109
...) empirical risk minimization (ERM). These algorithms are private under the epsilon-differential privacy definition due to Dwork et al. (2006... 
Support vector machines | Logistic regression | Privacy | Empirical risk minimization | Optimization | Classification | support vector machines | optimization | privacy | classification | empirical risk minimization | logistic regression | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
The Annals of statistics, ISSN 0090-5364, 2015, Volume 43, Issue 6, pp. 2507 - 2536
The purpose of this paper is to discuss empirical risk minimization when the losses are not necessarily bounded and may have a distribution with heavy tails... 
Catoni's estimator | Empirical risk minimization | Robust regression | Robust k-means clustering | Heavy-tailed data | DISTORTION | RATES | heavy-tailed data | robust regression | CONVERGENCE | STATISTICS & PROBABILITY | robust k-means clustering | Statistics - Methodology | Catoni’s estimator | 62F12 | 62F35
Journal Article
Machine learning, ISSN 1573-0565, 2019, Volume 109, Issue 4, pp. 813 - 852
Journal Article
The Annals of statistics, ISSN 0090-5364, 2006, Volume 34, Issue 6, pp. 2593 - 2656
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2017, Volume 18
We consider a generic convex optimization problem associated with regularized empirical risk minimization of linear predictors... 
ACCELERATION | APPROXIMATION | randomized algorithms | GRADIENT-METHOD | primal-dual algorithms | convex-concave saddle point problems | empirical risk minimization | ONLINE | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | computational complexity
Journal Article
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 2018, Volume 24, Issue 3, pp. 2176 - 2203
... of convergence of ERM for the linear aggregation problem. In a second part, we recover optimal rates of convergence for the excess risk of ERM when the dictionary is made of trigonometric functions... 
Optimal rates | Small-ball property | Empirical risk minimization | Excess risk’s concentration | Linear aggregation | linear aggregation | BOUNDS | excess risk's concentration | small-ball property | CONCENTRATION INEQUALITIES | STATISTICS & PROBABILITY | optimal rates | empirical risk minimization | LEAST-SQUARES
Journal Article
Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, ISSN 1350-7265, 08/2016, Volume 22, Issue 3, pp. 1520 - 1534
Journal Article
Annals of Operations Research, ISSN 0254-5330, 7/2018, Volume 266, Issue 1, pp. 255 - 291
Journal Article
Sankhya A, ISSN 0976-836X, 8/2017, Volume 79, Issue 2, pp. 159 - 200
Journal Article
Annales de l'I.H.P. Probabilités et statistiques, ISSN 0246-0203, 02/2009, Volume 45, Issue 1, pp. 7 - 57
...)). We study the following penalized empirical risk minimization problem (lambda) over cap (epsilon) := (lambda is an element of RN... 
Empirical risk | Penalized empirical risk | Sparsity | Oracle inequalities | penalty | RECOVERY | COMPLEXITIES | MODEL SELECTION | l(p)-penalty | STATISTICS & PROBABILITY | ℓ_p-penalty | 62H30 | 62G99 | 62J99
Journal Article
The Annals of statistics, ISSN 0090-5364, 2/2010, Volume 38, Issue 1, pp. 482 - 511
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10558, pp. 82 - 90
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10693, pp. 378 - 391
Conference Proceeding
Machine learning, ISSN 0885-6125, 08/2020, Volume 109, Issue 8, pp. 1635 - 1665
Journal Article
Journal of machine learning research, ISSN 1532-4435, 09/2015, Volume 16, pp. 1731 - 1755
.... In analogy to the Structural Risk Minimization principle of Wapnik and Tscherwonenkis (1979), these constructive bounds give rise to the Counterfactual Risk Minimization... 
Propensity score matching | Bandit feedback | Empirical risk minimization | Structured prediction | Importance sampling | structured prediction | propensity score matching | bandit feedback | importance sampling | empirical risk minimization | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
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