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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)

Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022 Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification COLING 2022 Adaptive Model Design for Markov Decision Process ICML 2022 Adaptive Oracle-Efficient Online Learning NeurIPS 2022 Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022 Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022 Adaptive Rectangle Loss for Speaker Verification Interspeech 2022 Adaptive Sampling for Discovery NeurIPS 2022 Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022 Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization NeurIPS 2022 AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks CVPR 2022 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training NeurIPS 2022 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models ICLR 2022 Additive Gaussian Processes Revisited ICML 2022 Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022 A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022 A Deep Learning Dataloader with Shared Data Preparation NeurIPS 2022 Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022 A Difference Standardization Method for Mutual Transfer Learning ICML 2022 A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift CVPR 2022 A Differential Entropy Estimator for Training Neural Networks ICML 2022 A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022 A Distribution Free Conditional Independence Test with Applications to Causal Discovery JMLR 2022