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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)

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge AISTATS 2022 Beyond IID: data-driven decision-making in heterogeneous environments NeurIPS 2022 Beyond L1: Faster and Better Sparse Models with skglm NeurIPS 2022 Beyond Mahalanobis Distance for Textual OOD Detection NeurIPS 2022 Beyond neural scaling laws: beating power law scaling via data pruning NeurIPS 2022 Beyond No Regret: Instance-Dependent PAC Reinforcement Learning COLT 2022 Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs NeurIPS 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022 Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits NeurIPS 2022 Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions NeurIPS 2022 Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022 Bias aware probabilistic Boolean matrix factorization UAI 2022 Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022 Bias-Variance Decompositions for Margin Losses AISTATS 2022 Bidirectional Learning for Offline Infinite-width Model-based Optimization NeurIPS 2022 BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales COLT 2022 BILCO: An Efficient Algorithm for Joint Alignment of Time Series NeurIPS 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022 Binary Encoded Word Mover’s Distance ACL 2022 Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators NeurIPS 2022 Biologically plausible solutions for spiking networks with efficient coding NeurIPS 2022 Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation NAACL 2022 BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ACL 2022