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)

A Scalable Neural Network for DSIC Affine Maximizer Auction Design NeurIPS 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NeurIPS 2023 A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023 A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification AAAI 2023 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NeurIPS 2023 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023 A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023 A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NeurIPS 2023 A Spectral Theory of Neural Prediction and Alignment NeurIPS 2023 A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023 ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks NeurIPS 2023 Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models EMNLP 2023 A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks ICLR 2023 A State Representation for Diminishing Rewards NeurIPS 2023 A State-Vector Framework for Dataset Effects EMNLP 2023 A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning AISTATS 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023 A Statistical Perspective on Retrieval-Based Models ICML 2023 A step towards understanding why classification helps regression ICCV 2023 A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023