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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)

FreDF: Learning to Forecast in the Frequency Domain ICLR 2025 Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM ICCV 2025 FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting IJCAI 2025 Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025 Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera AAAI 2025 FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures AAAI 2025 Free Process Rewards without Process Labels ICML 2025 FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing CVPR 2025 Frequency-Biased Synergistic Design for Image Compression and Compensation CVPR 2025 Frequency & Compositionality in Emergent Communication EMNLP 2025 Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration ICCV 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025 FreSh: Frequency Shifting for Accelerated Neural Representation Learning ICLR 2025 Frictional Agent Alignment Framework: Slow Down and Don’t Break Things ACL 2025 From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport CVPR 2025 From Attention to Activation: Unraveling the Enigmas of Large Language Models ICLR 2025 From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks ACL 2025 From Confidence to Collapse in LLM Factual Robustness EMNLP 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium ICML 2025 From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ ICLR 2025 From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation ICLR 2025 From Gaze to Movement: Predicting Visual Attention for Autonomous Driving Human-Machine Interaction based on Programmatic Imitation Learning ICCV 2025 From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025 From Gradient Clipping to Normalization for Heavy Tailed SGD AISTATS 2025