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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)

Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016 Consistency of Cheeger and Ratio Graph Cuts JMLR 2016 Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables JMLR 2016 Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016 Contextual Combinatorial Cascading Bandits ICML 2016 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016 Convex Calibration Dimension for Multiclass Loss Matrices JMLR 2016 Convex Regression with Interpretable Sharp Partitions JMLR 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Convolutional Rectifier Networks as Generalized Tensor Decompositions ICML 2016 Coordinate-wise Power Method NeurIPS 2016 Coordinating Multiple Disparity Proposals for Stereo Computation CVPR 2016 Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm ICML 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Corpus Fusion for Emotion Classification COLING 2016 Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016 CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data JMLR 2016 Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders JMLR 2016 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016