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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Incremental Consistency Guarantees for Replicated Objects OSDI 2016 Incremental Global Event Extraction COLING 2016 In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016 Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring MLHC 2016 Instance-dependent Regret Bounds for Dueling Bandits COLT 2016 Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF COLING 2016 Intelligibility Enhancement at the Receiving End of the Speech Transmission System — Effects of Far-End Noise Reduction Interspeech 2016 Interacting Particle Markov Chain Monte Carlo ICML 2016 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NeurIPS 2016 Interactive Algorithms: from Pool to Stream COLT 2016 Interactive Attention for Neural Machine Translation COLING 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation CVPR 2016 Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016 Investigation of Speed-Accuracy Tradeoffs in Speech Production Using Real-Time Magnetic Resonance Imaging Interspeech 2016 Isometric Non-Rigid Shape-From-Motion in Linear Time CVPR 2016 Isotonic Hawkes Processes ICML 2016 Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares JMLR 2016 Iterative Refinement of the Approximate Posterior for Directed Belief Networks NeurIPS 2016 Iterative Regularization for Learning with Convex Loss Functions JMLR 2016 JetStream: Cluster-Scale Parallelization of Information Flow Queries OSDI 2016