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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)

Convex Risk Minimization and Conditional Probability Estimation COLT 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NeurIPS 2015 Convolutional spike-triggered covariance analysis for neural subunit models NeurIPS 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 Copeland Dueling Bandits NeurIPS 2015 Copula variational inference NeurIPS 2015 Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015 Cornering Stationary and Restless Mixing Bandits with Remix-UCB NeurIPS 2015 Correlation Filters With Limited Boundaries CVPR 2015 Cortical Learning via Prediction COLT 2015 Co-Saliency Detection via Looking Deep and Wide CVPR 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Cross-Age Face Verification by Coordinating With Cross-Face Age Verification CVPR 2015 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Data modeling with the elliptical gamma distribution AISTATS 2015 Dealing with Difficult Instances of Object Rearrangement RSS 2015 Dealing with small data: On the generalization of context trees ICML 2015 Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015 Decomposition Bounds for Marginal MAP NeurIPS 2015 Decoupled Representation of the Error and Trajectory Estimates for Ef_cient Pose Estimation RSS 2015 Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015 Deep learning with Elastic Averaging SGD NeurIPS 2015 Deep Learning with Limited Numerical Precision ICML 2015 Deeply Learning the Messages in Message Passing Inference NeurIPS 2015