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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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'25

Papers (including subtopics)

Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Accelerating Guided Diffusion Sampling with Splitting Numerical Methods ICLR 2023 Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time ICLR 2023 Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling AAAI 2023 Accelerating Self-Supervised Learning via Efficient Training Strategies WACV 2023 Accelerating the Training of Video Super-resolution Models AAAI 2023 Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023 Accelerating Transformer Inference for Translation via Parallel Decoding ACL 2023 Accelerating Value Iteration with Anchoring NeurIPS 2023 Accelerating Vision-Language Pretraining With Free Language Modeling CVPR 2023 Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023 Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets WACV 2023 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations ICML 2023 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats ICLR 2023 A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation CVPR 2023 Achievement-Based Training Progress Balancing for Multi-Task Learning ICCV 2023 Achieve the Minimum Width of Neural Networks for Universal Approximation ICLR 2023 Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NeurIPS 2023 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023 Achieving High Accuracy with PINNs via Energy Natural Gradient Descent ICML 2023 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits ICLR 2023 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 ACLS: Adaptive and Conditional Label Smoothing for Network Calibration ICCV 2023