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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)

Spectral Bias in Practice: The Role of Function Frequency in Generalization NeurIPS 2022 Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime NeurIPS 2022 Spectral Pruning for Recurrent Neural Networks AISTATS 2022 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022 Speech Emotion Recognition via Generation using an Attention-based Variational Recurrent Neural Network Interspeech 2022 Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain Interspeech 2022 Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022 Speeding Up Entmax NAACL 2022 Speeding up Transformer Decoding via an Attention Refinement Network COLING 2022 Spiked Covariance Estimation from Modulo-Reduced Measurements AISTATS 2022 Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs AAAI 2022 SplitFed: When Federated Learning Meets Split Learning AAAI 2022 Split Hierarchical Variational Compression CVPR 2022 Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables NeurIPS 2022 SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022 SQ Lower Bounds for Learning Single Neurons with Massart Noise NeurIPS 2022 Sqrt(d) Dimension Dependence of Langevin Monte Carlo ICLR 2022 SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation ICLR 2022 Squashed Weight Distribution for Low Bit Quantization of Deep Models Interspeech 2022 SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection COLING 2022 Stability Analysis and Generalization Bounds of Adversarial Training NeurIPS 2022 Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks NeurIPS 2022 Stability and Generalization for Markov Chain Stochastic Gradient Methods NeurIPS 2022