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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process ICLR 2025 Separation Power of Equivariant Neural Networks ICLR 2025 Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025 Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters AAAI 2025 Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis CoRL 2025 Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback AAAI 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization ICML 2025 SET: Spectral Enhancement for Tiny Object Detection CVPR 2025 Set-Valued Sensitivity Analysis of Deep Neural Networks AAAI 2025 SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025 SFESS: Score Function Estimators for k-Subset Sampling ICLR 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching ICCV 2025 SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures ICML 2025 SGD with memory: fundamental properties and stochastic acceleration ICLR 2025 SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation SemEval 2025 Shallow diffusion networks provably learn hidden low-dimensional structure ICLR 2025 Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models ACL 2025 Shapley Consensus Deep Learning for Ensemble Pruning WACV 2025 Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract) IJCAI 2025 Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025 Sharp bounds on aggregate expert error ALT 2025 Sharper Bounds for Chebyshev Moment Matching, with Applications COLT 2025 Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization AAAI 2025