Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

LBM: Latent Bridge Matching for Fast Image-to-Image Translation ICCV 2025 LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits AISTATS 2025 LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics ICLR 2025 Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees ICML 2025 LEAPS: A discrete neural sampler via locally equivariant networks ICML 2025 Learnability of Parameter-Bounded Bayes Nets AAAI 2025 Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond ICCV 2025 Learned Image Compression with Hierarchical Progressive Context Modeling ICCV 2025 Learned Reference-based Diffusion Sampler for multi-modal distributions ICLR 2025 Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales ICML 2025 Learning Accurate and Interpretable Decision Trees (Extended Abstract) IJCAI 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain IJCAI 2025 Learning Adversarial MDPs with Stochastic Hard Constraints ICML 2025 Learning Algorithms for Multiple Instance Regression UAI 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent AISTATS 2025 Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization ICML 2025 Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems AISTATS 2025 Learning-Augmented Frequent Directions ICLR 2025 Learning-Augmented Hierarchical Clustering ICML 2025 Learning-Augmented Search Data Structures ICLR 2025 Learning Beyond Still Frames: Scaling Vision-Language Models with Video ICCV 2025 Learning Causal Response Representations through Direct Effect Analysis UAI 2025 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025