Copertina

A Bayesian Model for Online Activity Sample Sizes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Richardson, Thomas, Liu, Yu, McQueen, James, Hains, Doug
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
di: Liu, Yu, et al.
Pubblicazione: (2023)

Creating and Maintaining the Bibliographic Database for Library Automation. ERIC Digest.
di: McQueen, Judy
Pubblicazione: (1990)

A Nonparametric Bayes Approach to Online Activity Prediction
di: Beraha, Mario, et al.
Pubblicazione: (2024)

Estimating the Value of Evidence-Based Decision Making
di: Abadie, Alberto, et al.
Pubblicazione: (2023)

A Business Education Program for Training Library Technicians.
di: McQueen, Harriett
Pubblicazione: (1981)

Evaluating A/B Testing Methodologies via Sample Splitting: Theory and Practice
di: Kessler, Ryan, et al.
Pubblicazione: (2025)

Shame [Película] : deseos culpables / director y guionista, Steve McQueen ; productor, Ian Canning ; guionista, Abi Morgan
di: McQueen, Steve
Pubblicazione: (2011)

Networking CD-ROMs: Implementation Considerations.
di: McQueen, Howard
Pubblicazione: (1990)

Remote Dial-In Patron Access to CD-ROM LANs.
di: McQueen, Howard
Pubblicazione: (1990)

Certification: GFSF, funding challenge
di: McQueen, Angela
Pubblicazione: (2016)

Efficient RF Passive Components Modeling with Bayesian Online Learning and Uncertainty Aware Sampling
di: Zhang, Huifan, et al.
Pubblicazione: (2025)

Bayesian Online Model Selection
di: Afshar, Aida, et al.
Pubblicazione: (2026)

Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization
di: Wagner, Philipp, et al.
Pubblicazione: (2025)

Grazin rates and food selection in Diaptomus oregonensis (Copepoda) from Marion Lake, British Columbia
di: McQueen, D. J
Pubblicazione: (1970)

Reduction of zooplankton standing stocks by predaceous Cyclops bicuspidatus thomasi in Marion Lake, British Columbia
di: McQueen, D. J
Pubblicazione: (1966)

Generative Modeling with Bayesian Sample Inference
di: Lienen, Marten, et al.
Pubblicazione: (2025)

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
di: Takeno, Shion, et al.
Pubblicazione: (2023)

Exploring the Impact of Dataset Statistical Effect Size on Model Performance and Data Sample Size Sufficiency
di: Hatamian, Arya, et al.
Pubblicazione: (2025)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
di: Liu, Xu-Hui, et al.
Pubblicazione: (2024)

Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
di: Grant, James A., et al.
Pubblicazione: (2021)

Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations
di: Li, Dongrong, et al.
Pubblicazione: (2026)

The German Poetry of Paul Fleming
di: Sperberg-McQueen, Marian R.
Pubblicazione: (2020)

Federated Variational Inference for Bayesian Mixture Models
di: Rao, Jackie, et al.
Pubblicazione: (2025)

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
di: Wu, Skyler, et al.
Pubblicazione: (2024)

UniTS: A Unified Multi-Task Time Series Model
di: Gao, Shanghua, et al.
Pubblicazione: (2024)

Near-Optimal Sample Complexity for Online Constrained MDPs
di: Liu, Chang, et al.
Pubblicazione: (2026)

Online Sharp-Calibrated Bayesian Optimization
di: Sinaga, Marshal Arijona, et al.
Pubblicazione: (2026)

Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning
di: Baldwin-McDonald, Thomas, et al.
Pubblicazione: (2023)

Bidirectional Information Flow (BIF) -- A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
di: Guerra, Juan D., et al.
Pubblicazione: (2025)

Variation Due to Regularization Tractably Recovers Bayesian Deep Learning
di: McInerney, James, et al.
Pubblicazione: (2024)

Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
di: Takeno, Shion, et al.
Pubblicazione: (2025)

On Size-Independent Sample Complexity of ReLU Networks
di: Sellke, Mark
Pubblicazione: (2023)

Document Delivery in the United States. A Report.
di: Boss, Richard W., et al.
Pubblicazione: (1983)

Practical Bayesian Algorithm Execution via Posterior Sampling
di: Cheng, Chu Xin, et al.
Pubblicazione: (2024)

The Benefit of Being Bayesian in Online Conformal Prediction
di: Zhang, Zhiyu, et al.
Pubblicazione: (2024)

Online Bayesian Risk-Averse Reinforcement Learning
di: Wang, Yuhao, et al.
Pubblicazione: (2025)

Bayesian Online Natural Gradient (BONG)
di: Jones, Matt, et al.
Pubblicazione: (2024)

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
di: Sun, Mingchun, et al.
Pubblicazione: (2026)

The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
di: Block, Adam, et al.
Pubblicazione: (2023)

Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models
di: Fischer, John, et al.
Pubblicazione: (2024)