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)
Task Shift: From Classification to Regression in Overparameterized Linear Models
AISTATS 2025
Task Singular Vectors: Reducing Task Interference in Model Merging
CVPR 2025
Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
CVPR 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation
EMNLP 2025
TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization
IJCAI 2025
TCFG: Tangential Damping Classifier-free Guidance
CVPR 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
CVPR 2025
TCP: a Benchmark for Temporal Constraint-Based Planning
EMNLP 2025
TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
ACL 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
ACL 2025
Teaching Models to Improve on Tape
AAAI 2025
Teaching Text Agents to Learn Sequential Decision Making from Failure
ACL 2025
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
ICML 2025
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
AAAI 2025
Temporal-aware Query Routing for Real-time Video Instance Segmentation
ICCV 2025
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic
ACL 2025
Temporal Scaling Law for Large Language Models
EMNLP 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
CVPR 2025
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs
AAAI 2025
TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion
ACL 2025
TermDiffuSum: A Term-guided Diffusion Model for Extractive Summarization of Legal Documents
COLING 2025
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
AISTATS 2025
Testing Generalizability in Causal Inference
UAI 2025
Testing Juntas and Junta Subclasses with Relative Error
COLT 2025