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)
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
AISTATS 2025
Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
ICML 2025
Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers
EMNLP 2025
Variational Bayesian Pseudo-Coreset
ICLR 2025
Variational Best-of-N Alignment
ICLR 2025
Variational Control for Guidance in Diffusion Models
ICML 2025
Variational Counterfactual Intervention Planning to Achieve Target Outcomes
ICML 2025
Variational Diffusion Posterior Sampling with Midpoint Guidance
ICLR 2025
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
JMLR 2025
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
AISTATS 2025
Variational Inference on the Boolean Hypercube with the Quantum Entropy
AISTATS 2025
Variational Learning of Fractional Posteriors
ICML 2025
Variational Phylogenetic Inference with Products over Bipartitions
ICML 2025
VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning
EMNLP 2025
Vegeta: Enabling Parallel Smart Contract Execution in Leaderless Blockchains
NSDI 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
ACL 2025
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
ACL 2025
Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning
ACL 2025
Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
ACL 2025
VerifiAgent: a Unified Verification Agent in Language Model Reasoning
EMNLP 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
ICLR 2025
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
EMNLP 2025
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs
EMNLP 2025