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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)

Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022 Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022 Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NeurIPS 2022 Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems NeurIPS 2022 Accelerated SGD for Non-Strongly-Convex Least Squares COLT 2022 Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NeurIPS 2022 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022 Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks NSDI 2022 Accelerating DETR Convergence via Semantic-Aligned Matching CVPR 2022 Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers L4DC 2022 Accelerating Learned Sparse Indexes Via Term Impact Decomposition EMNLP 2022 Accelerating Shapley Explanation via Contributive Cooperator Selection ICML 2022 Accelerating training of batch normalization: A manifold perspective UAI 2022 Acceleration in Distributed Optimization under Similarity AISTATS 2022 Acceleration in Distributed Sparse Regression NeurIPS 2022 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NeurIPS 2022 Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022 Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022