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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)

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models CVPR 2025 Descent with Misaligned Gradients and Applications to Hidden Convexity ICLR 2025 Design and Analysis of few Million Parameter Transformer-based Language Models trained over a few Million Tokens Dataset EMNLP 2025 Design Choices for Extending the Context Length of Visual Language Models ACL 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging AAAI 2025 Detecting Adversarial Data Using Perturbation Forgery CVPR 2025 Detecting Open World Objects via Partial Attribute Assignment CVPR 2025 Determinant Estimation under Memory Constraints and Neural Scaling Laws ICML 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective ICML 2025 Deterministic Apple Tasting COLT 2025 Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations CVPR 2025 Deterministic Object Pose Confidence Region Estimation ICCV 2025 Device-Cloud Collaborative Correction for On-Device Recommendation IJCAI 2025 DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025 DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data AAAI 2025 D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement ICLR 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025 Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time EMNLP 2025 DICE: Data Influence Cascade in Decentralized Learning ICLR 2025 DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference ICCV 2025