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
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
SOREL: A Stochastic Algorithm for Spectral Risks Minimization
ICLR 2025
Sort-free Gaussian Splatting via Weighted Sum Rendering
ICLR 2025
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos
IJCAI 2025
Söze: One Network Telemetry Is All You Need for Per-flow Weighted Bandwidth Allocation at Scale
OSDI 2025
SPACETIME: Causal Discovery from Non-Stationary Time Series
AAAI 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
ICLR 2025
Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL
COLT 2025
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding
ICCV 2025
Sparse Latents Steer Retrieval-Augmented Generation
ACL 2025
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
ICML 2025
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks
EMNLP 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data
JMLR 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions
JMLR 2025
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs
ACL 2025
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
ICML 2025
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
AAAI 2025
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
CVPR 2025
Sparsifying Mamba
EMNLP 2025
Sparsity-Based Interpolation of External, Internal and Swap Regret
COLT 2025
Sparsity May Be All You Need: Sparse Random Parameter Adaptation
EMNLP 2025
Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction
WACV 2025
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
ICLR 2025
Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis
CVPR 2025
Spatio-Spectral Pattern Illumination for Direct and Indirect Separation from a Single Hyperspectral Image
ICCV 2025