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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 Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition CVPR 2025 Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection ICLR 2025 Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review CoNLL 2025 Accelerating neural network training: An analysis of the AlgoPerf competition ICLR 2025 Accelerating Neural ODEs: A Variational Formulation-based Approach ICLR 2025 Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators ICML 2025 Accelerating Proximal Gradient Descent via Silver Stepsizes COLT 2025 Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach ICML 2025 Accelerating Spectral Clustering under Fairness Constraints ICML 2025 Accelerating Task Generalisation with Multi-Level Skill Hierarchies ICLR 2025 Accelerating Training with Neuron Interaction and Nowcasting Networks ICLR 2025 Accessible, At-Home Detection of Parkinson’s Disease via Multi-Task Video Analysis AAAI 2025 Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 Accurate Differential Operators for Hybrid Neural Fields CVPR 2025 Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information IJCAI 2025 A Characterization of List Regression ALT 2025 Achieving Õ(√T) Regret in Average-Reward POMDPs with Known Observation Models AISTATS 2025 Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization ICLR 2025 Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks ICML 2025 Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously AAAI 2025 ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025 A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection ICML 2025 A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025