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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)

Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NeurIPS 2019 Localized Structured Prediction NeurIPS 2019 Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Locally Private Learning without Interaction Requires Separation NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Local Saddle Point Optimization: A Curvature Exploitation Approach AISTATS 2019 Local SGD Converges Fast and Communicates Little ICLR 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 Locating Objects Without Bounding Boxes CVPR 2019 LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs IJCAI 2019 Logarithmic Regret for Online Control NeurIPS 2019 Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity AISTATS 2019 Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Lookahead Optimizer: k steps forward, 1 step back NeurIPS 2019 Look Back and Predict Forward in Image Captioning CVPR 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 Lossless or Quantized Boosting with Integer Arithmetic ICML 2019 Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 Low-Distortion Social Welfare Functions AAAI 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019 Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019 Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019 Lower Bounds for Smooth Nonconvex Finite-Sum Optimization ICML 2019