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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)

Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022 Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits IJCAI 2022 Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NeurIPS 2022 Robustness of model predictions under extension UAI 2022 Robustness to Label Noise Depends on the Shape of the Noise Distribution NeurIPS 2022 Robustness to Unbounded Smoothness of Generalized SignSGD NeurIPS 2022 Robust Neural Posterior Estimation and Statistical Model Criticism NeurIPS 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Robust Pitch Estimation Using Multi-Branch CNN-LSTM and 1-Norm LP Residual Interspeech 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Robust Probabilistic Time Series Forecasting AISTATS 2022 Robust Product Classification with Instance-Dependent Noise ACL 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022 Robust Streaming PCA NeurIPS 2022 Robust Subset Selection by Greedy and Evolutionary Pareto Optimization IJCAI 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022 Robust Training under Label Noise by Over-parameterization ICML 2022 ROLLER: Fast and Efficient Tensor Compilation for Deep Learning OSDI 2022 RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022