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Learning Theory

5,334 papers

Papers per year

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Papers

Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests NIPS 2012
Generalization Bounds for Domain Adaptation NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Query Complexity of Derivative-Free Optimization NIPS 2012
Pointwise Tracking the Optimal Regression Function NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
No Internal Regret via Neighborhood Watch AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012