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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)

Episodic Policy Gradient Training AAAI 2022 EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation CVPR 2022 Equality Constraints in Linear Hawkes Processes CLeaR 2022 Equalized Focal Loss for Dense Long-Tailed Object Detection CVPR 2022 Equilibria in Strategic Nominee Selection IJCAI 2022 Equilibrium aggregation: encoding sets via optimization UAI 2022 Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization AAAI 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Equivariant Subgraph Aggregation Networks ICLR 2022 ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions AAAI 2022 Error Amplification When Updating Deployed Machine Learning Models MLHC 2022 Error Analysis of Tensor-Train Cross Approximation NeurIPS 2022 Error-Based Knockoffs Inference for Controlled Feature Selection AAAI 2022 Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass ICML 2022 ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022 Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits NeurIPS 2022 Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022 Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data NeurIPS 2022 Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NeurIPS 2022 Estimating and Explaining Model Performance When Both Covariates and Labels Shift NeurIPS 2022 Estimating and Penalizing Induced Preference Shifts in Recommender Systems ICML 2022 Estimating Density Models with Truncation Boundaries using Score Matching JMLR 2022 Estimating Example Difficulty Using Variance of Gradients CVPR 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022 Estimating Structural Disparities for Face Models CVPR 2022