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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition ICML 2017
Large-Scale Evolution of Image Classifiers ICML 2017
Active Learning for Accurate Estimation of Linear Models ICML 2017
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks ICML 2017
Failures of Gradient-Based Deep Learning ICML 2017
Relative Fisher Information and Natural Gradient for Learning Large Modular Models ICML 2017
Neural Networks and Rational Functions ICML 2017
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017
Diameter-Based Active Learning ICML 2017
Unifying Task Specification in Reinforcement Learning ICML 2017
Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017
The Condorcet Principle for Multiwinner Elections: From Shortlisting to Proportionality IJCAI 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017
On the Complexity of Learning from Label Proportions IJCAI 2017
Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017
Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Learning Feature Engineering for Classification IJCAI 2017
Learning Hedonic Games IJCAI 2017
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017
Efficient, Safe, and Probably Approximately Complete Learning of Action Models IJCAI 2017
Online Algorithm Selection IJCAI 2017
Investigating Scalability in Hierarchical Language Identification System INTERSPEECH 2017
Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017
Analyzing Tensor Power Method Dynamics in Overcomplete Regime JMLR 2017