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Learning Theory

Learning theory

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Showing 801–850 of 852 papers

TitleStatusHype
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning—0
Deep Learning and Continuous Representations for Natural Language Processing—0
Network Plasticity as Bayesian InferenceCode0
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm—0
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data—0
A Bennett Inequality for the Missing Mass—0
Efficient Learning of Linear Separators under Bounded Noise—0
Novel Bernstein-like Concentration Inequalities for the Missing Mass—0
Learning Mixtures of Gaussians in High Dimensions—0
On aggregation for heavy-tailed classes—0
On learning k-parities with and without noise—0
Towards a Learning Theory of Cause-Effect InferenceCode0
The Learnability of Unknown Quantum Measurements—0
Localized Complexities for Transductive Learning—0
Learning Theory for Distribution RegressionCode0
Learning circuits with few negations—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—0
Robust Optimization using Machine Learning for Uncertainty SetsCode0
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning—0
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
Structural Return Maximization for Reinforcement Learning—0
A Mathematical Theory of Learning—0
Corpus-Based Computation of Reverse Associations—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
Novel Deviation Bounds for Mixture of Independent Bernoulli Variables with Application to the Missing Mass—0
Binary Excess Risk for Smooth Convex Surrogates—0
Two-stage Sampled Learning Theory on Distributions—0
Bounding Embeddings of VC Classes into Maximum Classes—0
The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms—0
Learning rates of l^q coefficient regularization learning with Gaussian kernel—0
Evolution and Computational Learning Theory: A survey on Valiant's paper—0
A MapReduce based distributed SVM algorithm for binary classification—0
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds—0
From average case complexity to improper learning complexity—0
Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve—0
A Statistical Learning Based System for Fake Website Detection—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation—0
Passive Learning with Target Risk—0
Finding the True Frequent Itemsets—0
Learning Probability Measures with respect to Optimal Transport Metrics—0
Learning DNF Expressions from Fourier Spectrum—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
Online Learning: Stochastic, Constrained, and Smoothed Adversaries—0
Survey & Experiment: Towards the Learning Accuracy—0
Online Learning: Random Averages, Combinatorial Parameters, and Learnability—0
Online Learning via Sequential Complexities—0
A Contextual-Bandit Approach to Personalized News Article RecommendationCode0
Human Rademacher Complexity—0
Potential-Based Agnostic Boosting—0
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