Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015 Person Count Localization in Videos From Noisy Foreground and Detections CVPR 2015 Perturbed Message Passing for Constraint Satisfaction Problems JMLR 2015 Photonic Delay Systems as Machine Learning Implementations JMLR 2015 Policy Gradient for Coherent Risk Measures NeurIPS 2015 PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables ICCV 2015 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Predicting Multiple Structured Visual Interpretations ICCV 2015 Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM RSS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Project-Out Cascaded Regression With an Application to Face Alignment CVPR 2015 Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015