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 Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
ICLR 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
AISTATS 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NeurIPS 2022
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
ICLR 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
ICML 2022
On the Convergence Rates of Policy Gradient Methods
JMLR 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms
NeurIPS 2022
On the data requirements of probing
ACL 2022
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
On the difficulty of learning chaotic dynamics with RNNs
NeurIPS 2022
On the Double Descent of Random Features Models Trained with SGD
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
NeurIPS 2022
On the Effect of Isotropy on VAE Representations of Text
ACL 2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
NAACL 2022
On the Effects of Artificial Data Modification
ICML 2022
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
NeurIPS 2022
On the Epistemic Limits of Personalized Prediction
NeurIPS 2022
On the Existence of Universal Lottery Tickets
ICLR 2022
On the Expressivity of Markov Reward (Extended Abstract)
IJCAI 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
ICML 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm
ICML 2022
On the First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic (Extended Abstract)
IJCAI 2022
On the Frequency-bias of Coordinate-MLPs
NeurIPS 2022