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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Evaluating Historical Text Normalization Systems: How Well Do They Generalize? NAACL 2018
Distractor Generation for Multiple Choice Questions Using Learning to Rank NAACL 2018
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models NAACL 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018
Parameterized hardness of active inference PGM 2018
Query Complexity of Clustering with Side Information NIPS 2017
Exploring Generalization in Deep Learning NIPS 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence NIPS 2017
Learning Linear Dynamical Systems via Spectral Filtering NIPS 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NIPS 2017
Collaborative PAC Learning NIPS 2017
Multi-View Decision Processes: The Helper-AI Problem NIPS 2017
Lower bounds on the robustness to adversarial perturbations NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
On Structured Prediction Theory with Calibrated Convex Surrogate Losses NIPS 2017
Online Prediction with Selfish Experts NIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NIPS 2017
SGD Learns the Conjugate Kernel Class of the Network NIPS 2017
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks NIPS 2017
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces NIPS 2017
Variable Importance Using Decision Trees NIPS 2017
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening NIPS 2017
Generalization Properties of Learning with Random Features NIPS 2017
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks NIPS 2017