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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)

Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach ICLR 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 Decomposition-Guided Reductions for Argumentation and Treewidth IJCAI 2021 Decomposition Strategies to Count Integer Solutions over Linear Constraints IJCAI 2021 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Deconstructing the Regularization of BatchNorm ICLR 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 Decoupling the Depth and Scope of Graph Neural Networks NeurIPS 2021 Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Deep Bucket Elimination IJCAI 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021 Deep Contextual Video Compression NeurIPS 2021 DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021 Deep Equals Shallow for ReLU Networks in Kernel Regimes ICLR 2021 Deep Explicit Duration Switching Models for Time Series NeurIPS 2021 Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster AAAI 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Deep Generative Analysis for Task-Based Functional MRI Experiments MLHC 2021 Deep Generative Learning via Schrödinger Bridge ICML 2021 Deep Gradient Projection Networks for Pan-sharpening CVPR 2021 Deep Graph Matching Under Quadratic Constraint CVPR 2021