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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)

Sparse Modular Activation for Efficient Sequence Modeling NeurIPS 2023 Sparse PCA Beyond Covariance Thresholding COLT 2023 SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge ICML 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023 Sparse tree-based Initialization for Neural Networks ICLR 2023 Sparsity-aware generalization theory for deep neural networks COLT 2023 Sparsity-Constrained Optimal Transport ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 Spatial-frequency channels, shape bias, and adversarial robustness NeurIPS 2023 Spatially and Spectrally Consistent Deep Functional Maps ICCV 2023 SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data NeurIPS 2023 Spatial-Temporal Concept Based Explanation of 3D ConvNets CVPR 2023 Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction AAAI 2023 Spatio-temporal point processes with deep non-stationary kernels ICLR 2023 Speaker-independent Speech Inversion for Estimation of Nasalance Interspeech 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023 Special Properties of Gradient Descent with Large Learning Rates ICML 2023 Specifying and Testing k-Safety Properties for Machine-Learning Models IJCAI 2023 Spectral Decomposition Representation for Reinforcement Learning ICLR 2023 Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning NeurIPS 2023 Spectral Evolution and Invariance in Linear-width Neural Networks NeurIPS 2023 Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation EMNLP 2023 SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations ACL 2023 SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres ACL 2023