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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)

Deeply-Supervised Nets AISTATS 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Deep Poisson Factor Modeling NeurIPS 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Dense Continuous-Time Tracking and Mapping With Rolling Shutter RGB-D Cameras ICCV 2015 Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NeurIPS 2015 Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015 Detection and Segmentation of 2D Curved Reflection Symmetric Structures ICCV 2015 Differentially Private Bayesian Optimization ICML 2015 Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Discovering Temporal Causal Relations from Subsampled Data ICML 2015 Discrete Rényi Classifiers NeurIPS 2015 Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses JMLR 2015 Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM ICML 2015 Distributed Gaussian Processes ICML 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Distributed Matrix Completion and Robust Factorization JMLR 2015 Distributed Submodular Cover: Succinctly Summarizing Massive Data NeurIPS 2015 Distributionally Robust Logistic Regression NeurIPS 2015 Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NeurIPS 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015 Efficient and Parsimonious Agnostic Active Learning NeurIPS 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015