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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017 Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NeurIPS 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement mechanism design IJCAI 2017 Relative Fisher Information and Natural Gradient for Learning Large Modular Models ICML 2017 Relativistic Monte Carlo AISTATS 2017 Reliably Learning the ReLU in Polynomial Time COLT 2017 Removing Phase Transitions from Gibbs Measures AISTATS 2017 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks EMNLP 2017 Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging EMNLP 2017 Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI 2017 Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017 Rescale-Invariant SVM for Binary Classification IJCAI 2017 Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition Interspeech 2017 Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems CVPR 2017 Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation IJCAI 2017 Restricted Chase (Non)Termination for Existential Rules with Disjunctions IJCAI 2017 Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice NeurIPS 2017 Retaining Data from Streams of Social Platforms with Minimal Regret IJCAI 2017 Revenue Optimization with Approximate Bid Predictions NeurIPS 2017 Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces NeurIPS 2017 Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems CVPR 2017 Revisiting Unrestricted Rebut and Preferences in Structured Argumentation. IJCAI 2017