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Empirical risk minimization
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41	arXiv:1303.5976v1 [stat.ML] 24 Mar[removed]On Learnability, Complexity and Stability Silvia Villa† , Lorenzo Rosasco†,§ , Tomaso Poggio⊤,† ⊤ CBCL, Massachusetts Institute of Technology † LCSL , Istituto Italia Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-03-29 14:22:08 Mathematics Statistics Learning Stability VC dimension Empirical risk minimization Supervised learning Uniform convergence Machine learning Computational learning theory Mathematical analysis
42	Differentially Private Empirical Risk Minimization Kamalika Chaudhuri∗, Claire Monteleoni†, Anand D. Sarwate‡ June 1, 2010 Abstract Privacy-preserving machine learning algorithms are crucial for the increasingly co Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:47 Ethics Differential privacy Operations research Stability Mathematical optimization Privacy Randomized algorithm Support vector machine Function Mathematics Data privacy Applied mathematics
43	JMLR: Workshop and Conference Proceedings vol[removed]–32 24th Annual Conference on Learning Theory Sample Complexity Bounds for Differentially Private Learning Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-09-27 03:12:47 Ethics Artificial intelligence Learning Statistical classification Applied probability Exponential mechanism Differential privacy Empirical risk minimization VC dimension Machine learning Data privacy Statistics
44	A Support Vector Method for Multivariate Performance Measures Thorsten Joachims [removed] Cornell University, Dept. of Computer Science, 4153 Upson Hall, Ithaca, NY[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:47 Artificial intelligence Support vector machines Learning Supervised learning Mathematical optimization Margin classifier Linear classifier Structured SVM Empirical risk minimization Statistics Machine learning Statistical classification
45	Agnostic Active Learning Maria-Florina Balcan School of Computer Science, Carnegie Mellon University, Pittsburgh, PA[removed]removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-06-02 16:55:48 Machine learning Empirical risk minimization Uniform convergence
46	JMLR: Workshop and Conference Proceedings vol[removed]–34 Robust Interactive Learning Maria Florina Balcan NINAMF @ CC . GATECH . EDU Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-05-24 20:13:01 Applied mathematics Computational complexity theory Learning Empirical risk minimization Probably approximately correct learning Decision tree model Active learning Machine learning Theoretical computer science Artificial intelligence
47	Private Empirical Risk Minimization, Revisited Raef Bassily∗ Adam Smith∗ † Abhradeep Thakurta‡ Add to Reading List Source URL: privacytools.seas.harvard.edu Language: English - Date: 2014-07-01 19:35:05 Analysis of algorithms Convex analysis Data privacy Operations research Mathematical optimization Loss function Lipschitz continuity Randomized algorithm Exponential mechanism Theoretical computer science Applied mathematics Mathematics
48	Statistical Learning : stability is sufficient for generalization and necessary and sufficient for consistency of Empirical Risk Minimization Sayan Mukherjee †, Partha Niyogi⊥ , Tomaso Poggio†1 and Ryan Rifkin † Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2004-10-15 11:02:54 Learning Stability Statistics Leave one out error Computational learning theory Probability theory Empirical risk minimization Supervised learning Convergence of random variables Mathematics Mathematical analysis Machine learning
49	No-regret Algorithms for Online Convex Programs Geoffrey J. Gordon Department of Machine Learning Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-16 13:50:50 Convex analysis Operations research Convex function Convex optimization Function Boosting Algorithm Empirical risk minimization Mathematical optimization Mathematics Mathematical analysis
50	Agnostic Active Learning ? Maria-Florina Balcan Carnegie Mellon University, Pittsburgh, PA[removed]Alina Beygelzimer IBM T. J. Watson Research Center, Hawthorne, NY 10532 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-06-13 14:02:36 Supervised learning Empirical risk minimization Semi-supervised learning Active learning Machine learning Artificial intelligence Learning

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