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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)

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks IJCAI 2023 A Unified Algebraic Perspective on Lipschitz Neural Networks ICLR 2023 A Unified Algorithm for Stochastic Path Problems ALT 2023 A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs COLT 2023 A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NeurIPS 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023 A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models JMLR 2023 A Unified Fast Gradient Clipping Framework for DP-SGD NeurIPS 2023 A unified framework for information-theoretic generalization bounds NeurIPS 2023 A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 A Unified Framework for Robustness on Diverse Sampling Errors ICCV 2023 A Unified Framework for Soft Threshold Pruning ICLR 2023 A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing NeurIPS 2023 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NeurIPS 2023 A Unified Model and Dimension for Interactive Estimation NeurIPS 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023 A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection AISTATS 2023 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 A Unified View of Evaluation Metrics for Structured Prediction EMNLP 2023 A Unifying Formal Approach to Importance Values in Boolean Functions IJCAI 2023 A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NeurIPS 2023