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)
Online Resource Allocation with Non-Stationary Customers
ICML 2024
Online Sampling and Decision Making with Low Entropy
IJCAI 2024
Online Sensitivity Optimization in Differentially Private Learning
AAAI 2024
Online Stabilization of Spiking Neural Networks
ICLR 2024
Online Stackelberg Optimization via Nonlinear Control
COLT 2024
Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
COLT 2024
Online Subloop Search via Uncertainty Quantization for Efficient Test-Time Adaptation
Interspeech 2024
Online Submodular Maximization via Online Convex Optimization
AAAI 2024
Online Variational Sequential Monte Carlo
ICML 2024
Online Weighted Paging with Unknown Weights
NeurIPS 2024
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
NeurIPS 2024
On Measuring Context Utilization in Document-Level MT Systems
EACL 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
NeurIPS 2024
On Multi-Armed Bandit with Impatient Arms
ICML 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NeurIPS 2024
On Optimal Tradeoffs between EFX and Nash Welfare
AAAI 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts
AISTATS 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
ICML 2024
On Representation Complexity of Model-based and Model-free Reinforcement Learning
ICLR 2024
On Sampling Strategies for Spectral Model Sharding
NeurIPS 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
EMNLP 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection
NeurIPS 2024
On Softmax Direct Preference Optimization for Recommendation
NeurIPS 2024
On Spectral Properties of Gradient-based Explanation Methods
ECCV 2024