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 Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
ACL 2022
On The Memory Complexity of Uniformity Testing
COLT 2022
On the non-universality of deep learning: quantifying the cost of symmetry
NeurIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
On the Optimal Memorization Power of ReLU Neural Networks
ICLR 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
On the Optimization of Margin Distribution
IJCAI 2022
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
AISTATS 2022
On the Parameterization and Initialization of Diagonal State Space Models
NeurIPS 2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
ICLR 2022
On the Pitfalls of Using the Residual Error as Anomaly Score
MIDL 2022
On the power of adaptivity in statistical adversaries
COLT 2022
On the Practicality of Deterministic Epistemic Uncertainty
ICML 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method
AAAI 2022
On the Prediction Network Architecture in RNN-T for ASR
Interspeech 2022
On the probability–quality paradox in language generation
ACL 2022
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
AAAI 2022
On the relation between statistical learning and perceptual distances
ICLR 2022
On the Robustness of CountSketch to Adaptive Inputs
ICML 2022
On the Robustness of Offensive Language Classifiers
ACL 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
On the Role of Channel Capacity in Learning Gaussian Mixture Models
COLT 2022
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NeurIPS 2022