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)
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
ICML 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NeurIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NeurIPS 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
NeurIPS 2022
On the Stability and Scalability of Node Perturbation Learning
NeurIPS 2022
On the Statistical Benefits of Curriculum Learning
ICML 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NeurIPS 2022
On the Strong Correlation Between Model Invariance and Generalization
NeurIPS 2022
On the Surrogate Gap between Contrastive and Supervised Losses
ICML 2022
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
NeurIPS 2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization
NeurIPS 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models
EMNLP 2022
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
ICLR 2022
On the Utility of Prediction Sets in Human-AI Teams
IJCAI 2022
On the Value of Prior in Online Learning to Rank
AISTATS 2022
On the well-spread property and its relation to linear regression
COLT 2022
On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
IJCAI 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
AISTATS 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NeurIPS 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
ICML 2022
Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis
Interspeech 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
NeurIPS 2022
Open Problem: Better Differentially Private Learning Algorithms with Margin Guarantees
COLT 2022