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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)

Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC NeurIPS 2022 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models ICML 2022 Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model ACL 2022 Estimation and Comparison of Linear Regions for ReLU Networks IJCAI 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022 Estimation of Entropy in Constant Space with Improved Sample Complexity NeurIPS 2022 Estimation of Local Average Treatment Effect by Data Combination AAAI 2022 Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022 Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract) IJCAI 2022 Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention EMNLP 2022 Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent ICLR 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NeurIPS 2022 Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs AAAI 2022 Evaluating Extreme Hierarchical Multi-label Classification ACL 2022 Evaluating high-order predictive distributions in deep learning UAI 2022 Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NeurIPS 2022 Evaluating the Adversarial Robustness of Adaptive Test-time Defenses ICML 2022 Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022 Evaluating the Knowledge Dependency of Questions EMNLP 2022 Evaluation Methods for Representation Learning: A Survey IJCAI 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 Evolutionary Approach to Security Games with Signaling IJCAI 2022 Evolutionary Variational Optimization of Generative Models JMLR 2022