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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)

Sparsistency for inverse optimal transport ICLR 2024 Sparsity-Accelerated Training for Large Language Models ACL 2024 Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NeurIPS 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention AAAI 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spatial properties of Bayesian unsupervised trees COLT 2024 Speaker Detection by the Individual Listener and the Crowd: Parametric Models Applicable to Bonafide and Deepfake Speech Interspeech 2024 Speaker Personalization for Automatic Speech Recognition using Weight-Decomposed Low-Rank Adaptation Interspeech 2024 Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model EMNLP 2024 SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices NeurIPS 2024 SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding EMNLP 2024 Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks JMLR 2024 Spectral Editing of Activations for Large Language Model Alignment NeurIPS 2024 Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024 Spectral Filters, Dark Signals, and Attention Sinks ACL 2024 Spectral Graph Pruning Against Over-Squashing and Over-Smoothing NeurIPS 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Spectrally Transformed Kernel Regression ICLR 2024 Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models ICML 2024 Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions ICML 2024 Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation CVPR 2024 Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024 Speculative Contrastive Decoding ACL 2024