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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)

Pathwise Derivatives for Multivariate Distributions AISTATS 2019 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review ALT 2019 Per-Decision Option Discounting ICML 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Performance Metric Elicitation from Pairwise Classifier Comparisons AISTATS 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Personalizing Many Decisions with High-Dimensional Covariates NeurIPS 2019 Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019 Phase-Aware Speech Enhancement with Deep Complex U-Net ICLR 2019 Phase Synchronization Between EEG Signals as a Function of Differences Between Stimuli Characteristics Interspeech 2019 Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! ICML 2019 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Photon-Flooded Single-Photon 3D Cameras CVPR 2019 Phrase Grounding by Soft-Label Chain Conditional Random Field EMNLP 2019 Piecewise Strong Convexity of Neural Networks NeurIPS 2019 Pitfalls in the Evaluation of Sentence Embeddings ACL 2019 Planning with State Abstractions for Non-Markovian Task Specifications RSS 2019 Planting trees in graphs, and finding them back COLT 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019 PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ICCV 2019 PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet CVPR 2019 Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees NeurIPS 2019 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Polarimetric Camera Calibration Using an LCD Monitor CVPR 2019