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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 Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error Correction ACL 2022 Admissible Policy Teaching through Reward Design AAAI 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Adversarial Attack for Asynchronous Event-Based Data AAAI 2022 Adversarial Attacks on Gaussian Process Bandits ICML 2022 Adversarial Classification: Necessary Conditions and Geometric Flows JMLR 2022 Adversarial Concept Erasure in Kernel Space EMNLP 2022 Adversarial Eigen Attack on Black-Box Models CVPR 2022 Adversarial Interpretation of Bayesian Inference ALT 2022 Adversarially Robust Conformal Prediction ICLR 2022 Adversarially Robust Kernel Smoothing AISTATS 2022 Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization NeurIPS 2022 Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022 Adversarial Robustness is at Odds with Lazy Training NeurIPS 2022 Adversarial Support Alignment ICLR 2022 Adversarial Unlearning of Backdoors via Implicit Hypergradient ICLR 2022 Adversarial Vulnerability of Randomized Ensembles ICML 2022 ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria IJCAI 2022 AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search MIDL 2022 A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022