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
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'15
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Papers (including subtopics)
Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems
L4DC 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026
Transfer Learning via Regularized Random-effects Linear Discriminant Analysis
JMLR 2026
Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice
AAAI 2026
Transformer with Controlled Attention for Synchronous Motion Captioning
AAAI 2026
Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games
AAAI 2026
Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs
AAAI 2026
TRT: Harnessing Tensor Ring Transformer for Hyperspectral Image Super-Resolution
AAAI 2026
Truly Adapting to Adversarial Constraints in Constrained MABs
COLT 2026
Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding
AAAI 2026
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
AAAI 2026
T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method
AAAI 2026
TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding
AAAI 2026
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models
AAAI 2026
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
AAAI 2026
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning
AAAI 2026
TweezeEdit: Consistent and Efficient Image Editing with Path Regularization
AAAI 2026
Two Constraint Compilation Methods for Lifted Planning
AAAI 2026
UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
AAAI 2026
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge
AAAI 2026
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
AAAI 2026
Ultra-Low-Dimensional Prompt Tuning via Random Projection
EACL 2026
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
AAAI 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
Uncertainty-Propelled Physics-MAE Fusion for Self-Supervised Diffusion-Weighted Image Denoising
AAAI 2026