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)
3D-GSW: 3D Gaussian Splatting for Robust Watermarking
CVPR 2025
3D Test-time Adaptation via Graph Spectral Driven Point Shift
ICCV 2025
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time
AAAI 2025
A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning
ACL 2025
A Bayesian Approach to L2 Fluency Ratings by Native and Nonnative Listeners
Interspeech 2025
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
ICML 2025
A Bayesian Optimization Approach to Machine Translation Reranking
NAACL 2025
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
AISTATS 2025
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection
AAAI 2025
A Bregman Proximal Viewpoint on Neural Operators
ICML 2025
A Budget Recipe for Finetuning a Long-form Legal Summarization Model
AACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
NAACL 2025
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
AISTATS 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
AAAI 2025
Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
ICLR 2025
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
EMNLP 2025
Accelerated training through iterative gradient propagation along the residual path
ICLR 2025
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence
EMNLP 2025
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
ICLR 2025
Accelerating Adversarial Training on Under-Utilized GPU
IJCAI 2025
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
ICLR 2025
Accelerating Dense LLMs via L0-regularized Mixture-of-Experts
ACL 2025
Accelerating Design Space Exploration for LLM Training Systems with Multi-experiment Parallel Simulation
NSDI 2025
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
ICCV 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache
ICCV 2025