Skip to content
conftrace_

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
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

KSD Aggregated Goodness-of-fit Test NeurIPS 2022 L0-Sparse Canonical Correlation Analysis ICLR 2022 Label Errors in BANKING77 ACL 2022 Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation COLT 2022 Label-Only Model Inversion Attacks via Boundary Repulsion CVPR 2022 Label Ranking through Nonparametric Regression ICML 2022 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Lagrangian Method for Q-Function Learning (with Applications to Machine Translation) ICML 2022 Langevin Autoencoders for Learning Deep Latent Variable Models NeurIPS 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models EMNLP 2022 Laplace approximated Gaussian process state-space models UAI 2022 Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022 Large Batch Experience Replay ICML 2022 Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes NeurIPS 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect ICLR 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022 Large-Scale Streaming End-to-End Speech Translation with Neural Transducers Interspeech 2022 LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AutoML 2022 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities NeurIPS 2022 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression ICML 2022