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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Preference-based Teaching JMLR 2017
Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017
Nearly optimal classification for semimetrics JMLR 2017
Bridging Supervised Learning and Test-Based Co-optimization JMLR 2017
Asymptotic behavior of Support Vector Machine for spiked population model JMLR 2017
On the Consistency of Ordinal Regression Methods JMLR 2017
Minimax Estimation of Kernel Mean Embeddings JMLR 2017
A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017
Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017
Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities JMLR 2017
Regularization and the small-ball method II: complexity dependent error rates JMLR 2017
Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Improving PAC Exploration Using the Median Of Means NIPS 2016
Active Nearest-Neighbor Learning in Metric Spaces NIPS 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers NIPS 2016
Learning Tree Structured Potential Games NIPS 2016
PAC Reinforcement Learning with Rich Observations NIPS 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NIPS 2016
Active Learning with Oracle Epiphany NIPS 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels NIPS 2016
Adaptive Concentration Inequalities for Sequential Decision Problems NIPS 2016