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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Clustering Stable Instances of Euclidean k-means. NIPS 2017
Maxing and Ranking with Few Assumptions NIPS 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability NIPS 2017
Discovering Potential Correlations via Hypercontractivity NIPS 2017
Convergence of Gradient EM on Multi-component Mixture of Gaussians NIPS 2017
Learning ReLUs via Gradient Descent NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NIPS 2017
A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NIPS 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Limits of End-to-End Learning ACML 2017
Magnitude-Preserving Ranking for Structured Outputs ACML 2017
On the Learnability of Fully-Connected Neural Networks AISTATS 2017
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability AISTATS 2017
Learning Theory for Conditional Risk Minimization AISTATS 2017
Regret Bounds for Lifelong Learning AISTATS 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017
Stochastic Rank-1 Bandits AISTATS 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017
A Learning Theory of Ranking Aggregation AISTATS 2017
Linear Convergence of Stochastic Frank Wolfe Variants AISTATS 2017
Fast rates with high probability in exp-concave statistical learning AISTATS 2017
Generalization Error of Invariant Classifiers AISTATS 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017