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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
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828
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2000
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Papers (including subtopics)

Image Based Reconstruction of Liquids From 2D Surface Detections CVPR 2022 Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging ICML 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 Imbalance Trouble: Revisiting Neural-Collapse Geometry NeurIPS 2022 Imbedding Deep Neural Networks ICLR 2022 IMED-RL: Regret optimal learning of ergodic Markov decision processes NeurIPS 2022 IM-Loss: Information Maximization Loss for Spiking Neural Networks NeurIPS 2022 IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022 IMPARA: Impact-Based Metric for GEC Using Parallel Data COLING 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions NeurIPS 2022 Implicit Bias of Adversarial Training for Deep Neural Networks ICLR 2022 Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent NeurIPS 2022 Implicit Bias of Linear Equivariant Networks ICML 2022 Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks ICLR 2022 Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension ICLR 2022 Implicit Bias of the Step Size in Linear Diagonal Neural Networks ICML 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022 Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022 Implicit kernel meta-learning using kernel integral forms UAI 2022 Implicitly Regularized RL with Implicit Q-values AISTATS 2022 Implicit Parameter-free Online Learning with Truncated Linear Models ALT 2022 Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks ICML 2022 Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions NeurIPS 2022 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022