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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

The Blinded Bandit: Learning with Adaptive Feedback NIPS 2014
How transferable are features in deep neural networks? NIPS 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
Optimizing F-Measures by Cost-Sensitive Classification NIPS 2014
Efficient Partial Monitoring with Prior Information NIPS 2014
Learning the Learning Rate for Prediction with Expert Advice NIPS 2014
Making Pairwise Binary Graphical Models Attractive NIPS 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions NIPS 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Efficient learning by implicit exploration in bandit problems with side observations NIPS 2014
Orbit Regularization NIPS 2014
Exploiting easy data in online optimization NIPS 2014
Learning to Optimize via Information-Directed Sampling NIPS 2014
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NIPS 2014
On the Computational Efficiency of Training Neural Networks NIPS 2014
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NIPS 2014
Altitude Training: Strong Bounds for Single-Layer Dropout NIPS 2014
Model-based Reinforcement Learning and the Eluder Dimension NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
The limits of squared Euclidean distance regularization NIPS 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
Sparse Multi-Task Reinforcement Learning NIPS 2014