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)
Conditional Outcome Equivalence: A Quantile Alternative to CATE
NeurIPS 2024
Conditional Variational Diffusion Models
ICLR 2024
Conditional Velocity Score Estimation for Image Restoration
WACV 2024
Conditioning non-linear and infinite-dimensional diffusion processes
NeurIPS 2024
Confidence-aware Contrastive Learning for Selective Classification
ICML 2024
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
ICLR 2024
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
AutoML 2024
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting
ACL 2024
Confident Feature Ranking
AISTATS 2024
Conflict-Alleviated Gradient Descent for Adaptive Object Detection
IJCAI 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NeurIPS 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
AAAI 2024
Conformal Classification with Equalized Coverage for Adaptively Selected Groups
NeurIPS 2024
Conformal Contextual Robust Optimization
AISTATS 2024
Conformal Inductive Graph Neural Networks
ICLR 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
JMLR 2024
Conformal Inverse Optimization
NeurIPS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
AISTATS 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
NeurIPS 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
AAAI 2024
Conformal Prediction Sets Improve Human Decision Making
ICML 2024
Conformal Predictions under Markovian Data
ICML 2024
Conformal Prediction via Regression-as-Classification
ICLR 2024
Conformal Risk Control
ICLR 2024