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)

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 Non-Autoregressive Machine Translation as Constrained HMM ACL 2024 Non-autoregressive Sequence-to-Sequence Vision-Language Models CVPR 2024 Non-clairvoyant Scheduling with Partial Predictions ICML 2024 Non-Clashing Teaching Maps for Balls in Graphs COLT 2024 Non-contrastive sentence representations via self-supervision NAACL 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 Nonconvex scenario optimization for data-driven reachability L4DC 2024 Non-convex Stochastic Composite Optimization with Polyak Momentum ICML 2024 Non-Euclidean Monotone Operator Theory and Applications JMLR 2024 Non-Exchangeable Conformal Risk Control ICLR 2024 Non-excludable Bilateral Trade between Groups AAAI 2024 Nonlinear dynamics of localization in neural receptive fields NeurIPS 2024 Nonlinear Filtering with Brenier Optimal Transport Maps ICML 2024 Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NeurIPS 2024 Non-monotone Sequential Submodular Maximization AAAI 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 Non-parametric classification via expand-and-sparsify representation NeurIPS 2024 Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024 Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections IJCAI 2024 Nonparametric Inference under B-bits Quantization JMLR 2024 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NeurIPS 2024 Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024