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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
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Papers (including subtopics)

A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 Average Sensitivity of Euclidean k-Clustering NeurIPS 2022 A-ViT: Adaptive Tokens for Efficient Vision Transformer CVPR 2022 A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022 A Witness Two-Sample Test AISTATS 2022 A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method JMLR 2022 AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NeurIPS 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NeurIPS 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022 Balanced MSE for Imbalanced Visual Regression CVPR 2022 Balanced Self-Paced Learning for AUC Maximization AAAI 2022 Balancing utility and scalability in metric differential privacy UAI 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences ICLR 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022 Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NeurIPS 2022 Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning AISTATS 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Batch Normalization Preconditioning for Neural Network Training JMLR 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NeurIPS 2022 Batch size-invariance for policy optimization NeurIPS 2022 BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022