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Learning theory
Results: 7211

#	Item
621	Minimax Time Series Prediction Alan Malek UC Berkeley Wouter M. Koolen Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-12-18 16:12:15 Mathematics Decision theory Game theory Detection theory Game artificial intelligence Minimax Regret Online machine learning Applied mathematics
622	INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X \| eissn \| 00 \| 0000 \| 0001 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-03 20:28:24 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Stochastic simulation Loss function Bayes estimator Reinforcement learning Sampling Posterior probability Confidence interval
623	Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08. Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2010-04-10 16:56:09 Machine learning Learning Analysis Artificial intelligence Mathematical analysis Inverse problems Statistical classification Convex optimization Support vector machine Mathematical optimization Regularization Statistical learning theory
624	On Noise Tolerant Learning of Sparse Pari4es and Related Problems ALT 2011 Lev Reyzin Georgia Ins4tute of Technology work Joint with Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2011-10-07 01:13:05 Error detection and correction Coding theory Computer arithmetic Binary arithmetic Parity Parity bit Hamming Computing Computer architecture Mathematics
625	Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-02-08 11:48:18 Econometrics Machine learning Statistical theory Probability distributions Online machine learning Loss function Big O notation Sample complexity Confidence interval Normal distribution Matrix Algorithm
626	JMLR: Workshop and Conference Proceedings vol–26 24th Annual Conference on Learning Theory Regret Bounds for the Adaptive Control of Linear Quadratic Systems Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2011-09-04 20:45:19 Statistical theory Statistics Estimation theory Econometrics Loss function Economic lot scheduling problem
627	sm_reg_surface_noisy_60_b.eps Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-07 08:16:36 Statistics Machine learning Nonparametric statistics Estimation theory Computational statistics Kernel density estimation Pattern recognition Artificial neural network Mixture model Density estimation Inverse problem Maximum a posteriori estimation
628	CommunityFinder: Software to Analyze Communities that Develop in MOOC Discussion Forums Max Kanter Kalyan Veeramachaneni Any Scale Learning for All Computer Science and Artificial Intelligence Laboratory Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-01-14 20:42:04 Algebraic graph theory Community structure Spectral clustering Eigenvalues and eigenvectors Massive open online course Modularity Adjacency matrix Graph partition Book:Graph Theory I
629	Summary: Efficient Learning of Sparse Ranking Functions Juliana Louback - December 14, 2014 Introduction to Computational Learning Theory - Final Project Add to Reading List Source URL: julianalouback.com Language: English - Date: 2016-01-10 15:21:16
630	Title Bayesian modeling using Stan Abstract The goal of this course is to assist researchers in learning to use Stan to perform Bayesian inference with applications to multilevel modeling and item response theory. The co Add to Reading List Source URL: www.psychometricsociety.org Language: English - Date: 2016-02-11 12:46:42 Statistics Statistical theory Monte Carlo software Computational statistics Statistical inference Bayesian statistics Bayesian network Stan Markov chain Monte Carlo WinBUGS Bayesian inference using Gibbs sampling Bayesian inference

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