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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Papers (including subtopics)
G2: Guided Generation for Enhanced Output Diversity in LLMs
EMNLP 2025
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
ICML 2025
Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning
RSS 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
Gap-Dependent Bounds for Federated Q-Learning
ICML 2025
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
ICLR 2025
GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation
ACL 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
AAAI 2025
GATEAU: Selecting Influential Samples for Long Context Alignment
EMNLP 2025
Gated Delta Networks: Improving Mamba2 with Delta Rule
ICLR 2025
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
ICLR 2025
Gaussian Mean Testing under Truncation
AISTATS 2025
Gaussian Mixture Counterfactual Generator
ICLR 2025
GaussianReg: Rapid 2D/3D Registration for Emergency Surgery via Explicit 3D Modeling with Gaussian Primitives
ICCV 2025
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting
CVPR 2025
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction
RSS 2025
GCG-Based Artificial Languages for Evaluating Inductive Biases of Neural Language Models
CoNLL 2025
gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
ACL 2025
GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems
EMNLP 2025
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
GenDLN: Evolutionary Algorithm-Based Stacked LLM Framework for Joint Prompt Optimization
ACL 2025
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
ICML 2025
Generalisation under gradient descent via deterministic PAC-Bayes
ALT 2025
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
ICML 2025