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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis AAAI 2019 Deep Tensor ADMM-Net for Snapshot Compressive Imaging ICCV 2019 Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019 DeepView: View Synthesis With Learned Gradient Descent CVPR 2019 DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging NeurIPS 2019 Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning ICML 2019 Defensive Quantization: When Efficiency Meets Robustness ICLR 2019 Delay and Cooperation in Nonstochastic Bandits JMLR 2019 Demystifying Dropout ICML 2019 DepDist: Surface realization via regex and learned dependency-distance tolerance EMNLP 2019 Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019 Dependent relevance determination for smooth and structured sparse regression JMLR 2019 Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces IJCAI 2019 Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019 Describing Like Humans: On Diversity in Image Captioning CVPR 2019 Designing Optimal Binary Rating Systems AISTATS 2019 DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces RSS 2019 Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019 Detecting Overfitting via Adversarial Examples NeurIPS 2019 Detection of Planted Solutions for Flat Satisfiability Problems AISTATS 2019 Determinantal Point Processes for Coresets JMLR 2019 Determining Solvability in the Birds of a Feather Card Game AAAI 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019