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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)

Certified Robustness Under Bounded Levenshtein Distance ICLR 2025 Certified Unlearning for Neural Networks ICML 2025 Certifying Bounds Propagation for Integer Multiplication Constraints AAAI 2025 CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information COLING 2025 Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step NAACL 2025 Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025 CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators ICLR 2025 Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength AISTATS 2025 Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction ICML 2025 Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract) COLT 2025 Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning JMLR 2025 Characterizing Mamba’s Selective Memory using Auto-Encoders IJCNLP 2025 Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization AISTATS 2025 CharDiff: Improving Sampling Convergence via Characteristic Function Consistency in Diffusion Models WACV 2025 CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation CVPR 2025 Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine AAAI 2025 Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models EMNLP 2025 Chip Placement with Diffusion Models ICML 2025 CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers ICCV 2025 Circuit-Aware d-DNNF Compilation IJCAI 2025 Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025 Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models ACL 2025 Circuit Stability Characterizes Language Model Generalization ACL 2025 CLaSp: In-Context Layer Skip for Self-Speculative Decoding ACL 2025 ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance ICLR 2025