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)
Omnigrok: Grokking Beyond Algorithmic Data
ICLR 2023
OMPQ: Orthogonal Mixed Precision Quantization
AAAI 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
On Accelerated Perceptrons and Beyond
ICLR 2023
On Achieving Optimal Adversarial Test Error
ICLR 2023
On a Class of Gibbs Sampling over Networks
COLT 2023
On Adaptivity and Safety in Sequential Decision Making
IJCAI 2023
On amortizing convex conjugates for optimal transport
ICLR 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
ICML 2023
On Batch Teaching Without Collusion
JMLR 2023
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
ALT 2023
On Biased Compression for Distributed Learning
JMLR 2023
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
ICML 2023
On Calibrating Diffusion Probabilistic Models
NeurIPS 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm
CVPR 2023
On Certified Generalization in Structured Prediction
NeurIPS 2023
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
NeurIPS 2023
On Classification-Calibration of Gamma-Phi Losses
COLT 2023
On Complementarity Objectives for Hybrid Retrieval
ACL 2023
On Computable Online Learning
ALT 2023
On Computing Optimal Tree Ensembles
ICML 2023
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
L4DC 2023
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
NeurIPS 2023
On Coresets for Clustering in Small Dimensional Euclidean spaces
ICML 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
AISTATS 2023