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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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828
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2000
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Papers (including subtopics)

Base of RoPE Bounds Context Length NeurIPS 2024 Batch and match: black-box variational inference with a score-based divergence ICML 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning ACL 2024 Batch Normalization Alleviates the Spectral Bias in Coordinate Networks CVPR 2024 Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024 Batch normalization is sufficient for universal function approximation in CNNs ICLR 2024 BatteryML: An Open-source Platform for Machine Learning on Battery Degradation ICLR 2024 Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information ICLR 2024 BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference ICLR 2024 Bayesian Adaptation of Network Depth and Width for Continual Learning ICML 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024 Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Exploration Networks ICML 2024 Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification ICML 2024 Bayesian Low-rank Adaptation for Large Language Models ICLR 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NeurIPS 2024 Bayesian Online Learning for Consensus Prediction AISTATS 2024 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024