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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)

Analysis of Variational Mode Functions for Robust Detection of Vowels Interspeech 2018 Analytical Derivatives of Rigid Body Dynamics Algorithms RSS 2018 Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras CVPR 2018 Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 Analyzing Correlated Evolution of Multiple Features Using Latent Representations EMNLP 2018 Analyzing Filters Toward Efficient ConvNet CVPR 2018 Analyzing Reaction Time Sequences from Human Participants in Auditory Experiments Interspeech 2018 Analyzing Tie-Breaking Strategies for the A* Algorithm IJCAI 2018 An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018 An Analytical and Experimental Comparison of Maximal Lottery Schemes IJCAI 2018 An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018 An efficient distributed learning algorithm based on effective local functional approximations JMLR 2018 An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018 An Efficient Pruning Algorithm for Robust Isotonic Regression NeurIPS 2018 An Efficient Semismooth Newton based Algorithm for Convex Clustering ICML 2018 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate IJCAI 2018 An Empirical Study of Methods for SPN Learning and Inference PGM 2018 An Encoder-Decoder Approach to the Paradigm Cell Filling Problem EMNLP 2018 An Estimate Sequence for Geodesically Convex Optimization COLT 2018 An Estimation and Analysis Framework for the Rasch Model ICML 2018 A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH) CVPR 2018 Angular Softmax for Short-Duration Text-independent Speaker Verification Interspeech 2018 An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression NeurIPS 2018