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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Learning Overcomplete HMMs NIPS 2017
Stochastic and Adversarial Online Learning without Hyperparameters NIPS 2017
Discriminative State Space Models NIPS 2017
A Minimax Optimal Algorithm for Crowdsourcing NIPS 2017
Online control of the false discovery rate with decaying memory NIPS 2017
Online Learning with Transductive Regret NIPS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NIPS 2017
Revenue Optimization with Approximate Bid Predictions NIPS 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NIPS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NIPS 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NIPS 2017
Parameter-Free Online Learning via Model Selection NIPS 2017
On the Complexity of Learning Neural Networks NIPS 2017
A Sample Complexity Measure with Applications to Learning Optimal Auctions NIPS 2017
On Optimal Generalizability in Parametric Learning NIPS 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017
Information-theoretic analysis of generalization capability of learning algorithms NIPS 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
Boltzmann Exploration Done Right NIPS 2017
Multi-Objective Non-parametric Sequential Prediction NIPS 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Minimizing a Submodular Function from Samples NIPS 2017
Random Permutation Online Isotonic Regression NIPS 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017