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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)

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021 Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings EMNLP 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 Hyperparameter Optimization Is Deceiving Us, and How to Stop It NeurIPS 2021 Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 Hyperparameter Tuning is All You Need for LISTA NeurIPS 2021 HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation CVPR 2021 Hypothesis testing with low-degree polynomials in the Morris class of exponential families COLT 2021 IA-GM: A Deep Bidirectional Learning Method for Graph Matching AAAI 2021 I-BERT: Integer-only BERT Quantization ICML 2021 ICON: Learning Regular Maps Through Inverse Consistency ICCV 2021 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients ICML 2021 IDARTS: Interactive Differentiable Architecture Search ICCV 2021 Identifiable Generative models for Missing Not at Random Data Imputation NeurIPS 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identification of the Generalized Condorcet Winner in Multi-dueling Bandits NeurIPS 2021 Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies ICLR 2021 Identifying Norms from Observation Using MCMC Sampling IJCAI 2021 Identity-aware Graph Neural Networks AAAI 2021 Identity testing for Mallows model NeurIPS 2021 If You Like Shapley Then You’ll Love the Core AAAI 2021 IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters for Tracking WACV 2021 IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection SemEval 2021