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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)

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation ACL 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport ICML 2025 Score-based free-form architectures for high-dimensional Fokker-Planck equations ICLR 2025 Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows ICML 2025 Score matching through the roof: linear, nonlinear, and latent variables causal discovery CLeaR 2025 Score Matching with Missing Data ICML 2025 SCULPT: Systematic Tuning of Long Prompts ACL 2025 SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image ICCV 2025 SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming ICML 2025 SEAL: Semantic Attention Learning for Long Video Representation CVPR 2025 Seal Your Backdoor with Variational Defense ICCV 2025 SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models EMNLP 2025 Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025 Searching for Optimal Solutions with LLMs via Bayesian Optimization ICLR 2025 Search Strategy Generation for Branch and Bound Using Genetic Programming AAAI 2025 SEBRA : Debiasing through Self-Guided Bias Ranking ICLR 2025 Secant Line Search for Frank-Wolfe Algorithms ICML 2025 Second Order Bounds for Contextual Bandits with Function Approximation ICLR 2025 Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer ICLR 2025 Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients JMLR 2025 Second-Order Min-Max Optimization with Lazy Hessians ICLR 2025 Secrets of Edge-Informed Contrast Maximization for Event-Based Vision WACV 2025 SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding COLING 2025 Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models ICLR 2025