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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)

Speech Source Separation Using ICA in Constant Q Transform Domain Interspeech 2018 Speeding Up Neural Machine Translation Decoding by Cube Pruning EMNLP 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NeurIPS 2018 Spline Error Weighting for Robust Visual-Inertial Fusion CVPR 2018 Sprucing up the trees – Error detection in treebanks COLING 2018 Spurious Local Minima are Common in Two-Layer ReLU Neural Networks ICML 2018 SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron SemEval 2018 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 Stabilizing Adversarial Nets with Prediction Methods ICLR 2018 Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization ICML 2018 Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018 State Abstractions for Lifelong Reinforcement Learning ICML 2018 State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018 State Gradients for RNN Memory Analysis EMNLP 2018 State Gradients for RNN Memory Analysis Interspeech 2018 Stateless Datacenter Load-balancing with Beamer NSDI 2018 State-of-the-art Chinese Word Segmentation with Bi-LSTMs EMNLP 2018 State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018 Statistical Analysis and Parameter Selection for Mapper JMLR 2018 Statistical and Computational Trade-Offs in Kernel K-Means NeurIPS 2018 Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018 Statistical mechanics of low-rank tensor decomposition NeurIPS 2018 Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NeurIPS 2018 Statistical Quality Control for Human Computation and Crowdsourcing IJCAI 2018 Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018