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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks AutoML 2022 AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification CVPR 2022 AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 Automated Progressive Learning for Efficient Training of Vision Transformers CVPR 2022 Automated Super-Network Generation for Scalable Neural Architecture Search AutoML 2022 Automatic differentiation of nonsmooth iterative algorithms NeurIPS 2022 Automatic Differentiation of Programs with Discrete Randomness NeurIPS 2022 Automatic Document Selection for Efficient Encoder Pretraining EMNLP 2022 Automatic Learning of Subword Dependent Model Scales Interspeech 2022 Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property ICLR 2022 Automatic Mean Opinion Score Estimation with Temporal Modulation Features on Gammatone Filterbank for Speech Assessment Interspeech 2022 Automatic planning of liver tumor thermal ablation using deep reinforcement learning MIDL 2022 Automatic Termination for Hyperparameter Optimization AutoML 2022 AutoML Two-Sample Test NeurIPS 2022 AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NeurIPS 2022 auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data MLHC 2022 Autoregressive Quantile Flows for Predictive Uncertainty Estimation ICLR 2022 Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022 AutoSNN: Towards Energy-Efficient Spiking Neural Networks ICML 2022 AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NeurIPS 2022 Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search WACV 2022 Auxiliary Learning with Joint Task and Data Scheduling ICML 2022 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022