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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)

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NeurIPS 2022 Declarative nets that are equilibrium models ICLR 2022 Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NeurIPS 2022 Deconfounded Representation Similarity for Comparison of Neural Networks NeurIPS 2022 Deconstructing the Inductive Biases of Hamiltonian Neural Networks ICLR 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Deep and Flexible Graph Neural Architecture Search ICML 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NeurIPS 2022 Deep Attentive Variational Inference ICLR 2022 Deep Black-Box Reinforcement Learning with Movement Primitives CoRL 2022 Deep Combinatorial Aggregation NeurIPS 2022 Deep Constrained Least Squares for Blind Image Super-Resolution CVPR 2022 Deep Decomposition for Stochastic Normal-Abnormal Transport CVPR 2022 Deep Equilibrium Approaches to Diffusion Models NeurIPS 2022 Deep equilibrium networks are sensitive to initialization statistics ICML 2022 Deep Equilibrium Optical Flow Estimation CVPR 2022 Deep Generalized Schrödinger Bridge NeurIPS 2022 Deep Generalized Unfolding Networks for Image Restoration CVPR 2022 DeepHardMark: Towards Watermarking Neural Network Hardware AAAI 2022 Deep Hierarchy in Bandits ICML 2022 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models L4DC 2022 Deep invariant networks with differentiable augmentation layers NeurIPS 2022 Deep Layer-wise Networks Have Closed-Form Weights AISTATS 2022