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Theory

4,955 papers

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Papers

Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes NIPS 2016
A posteriori error bounds for joint matrix decomposition problems NIPS 2016
PAC-Bayesian Theory Meets Bayesian Inference NIPS 2016
Architectural Complexity Measures of Recurrent Neural Networks NIPS 2016
The Power of Adaptivity in Identifying Statistical Alternatives NIPS 2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints NIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization NIPS 2016
The Power of Optimization from Samples NIPS 2016
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs NIPS 2016
Direct Feedback Alignment Provides Learning in Deep Neural Networks NIPS 2016
Full-Capacity Unitary Recurrent Neural Networks NIPS 2016
Fairness in Learning: Classic and Contextual Bandits NIPS 2016
Adaptive Neural Compilation NIPS 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure NIPS 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
Geometry-aware stationary subspace analysis ACML 2016
Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016
Pareto Front Identification from Stochastic Bandit Feedback AISTATS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
On Searching for Generalized Instrumental Variables AISTATS 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016
Spectral M-estimation with Applications to Hidden Markov Models AISTATS 2016
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity COLING 2016
Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016