Saved in:
| Main Authors: | Hüttel, Frederik Boe, Riis, Christoffer, Rodrigues, Filipe, Pereira, Francisco Câmara |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.11973 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion-aware Censored Gaussian Processes for Demand Modelling
by: Rodrigues, Filipe
Published: (2025)
by: Rodrigues, Filipe
Published: (2025)
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
by: Lassen, Oskar Bohn, et al.
Published: (2025)
by: Lassen, Oskar Bohn, et al.
Published: (2025)
Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques
by: Roark, Amalie, et al.
Published: (2025)
by: Roark, Amalie, et al.
Published: (2025)
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
by: Svensson, Emma, et al.
Published: (2024)
by: Svensson, Emma, et al.
Published: (2024)
Neural Networks for Censored Expectile Regression Based on Data Augmentation
by: Cao, Wei, et al.
Published: (2025)
by: Cao, Wei, et al.
Published: (2025)
Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space
by: Dumbre, Kunal, et al.
Published: (2025)
by: Dumbre, Kunal, et al.
Published: (2025)
Practical Deep Heteroskedastic Regression
by: Jordahn, Mikkel, et al.
Published: (2026)
by: Jordahn, Mikkel, et al.
Published: (2026)
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
by: Agriesti, Serio, et al.
Published: (2026)
by: Agriesti, Serio, et al.
Published: (2026)
A Bayesian Model for Multi-stage Censoring
by: Sadhuka, Shuvom, et al.
Published: (2025)
by: Sadhuka, Shuvom, et al.
Published: (2025)
Impartial Games: A Challenge for Reinforcement Learning
by: Zhou, Bei, et al.
Published: (2022)
by: Zhou, Bei, et al.
Published: (2022)
Reconstrucción [Película] / Christoffer Boe, director y guionista ; Tine Grew Pfeiffer, productora
by: Boe, Christoffer
Published: (2003)
by: Boe, Christoffer
Published: (2003)
Interpretable Deep Regression Models with Interval-Censored Failure Time Data
by: Yuan, Changhui, et al.
Published: (2025)
by: Yuan, Changhui, et al.
Published: (2025)
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
by: Wang, Qinxin, et al.
Published: (2024)
by: Wang, Qinxin, et al.
Published: (2024)
Adaptive Active Learning for Regression via Reinforcement Learning
by: Nguyen, Simon D., et al.
Published: (2026)
by: Nguyen, Simon D., et al.
Published: (2026)
Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis
by: Yanes-Pulido, Javier, et al.
Published: (2026)
by: Yanes-Pulido, Javier, et al.
Published: (2026)
Bayesian Active Learning By Distribution Disagreement
by: Werner, Thorben, et al.
Published: (2025)
by: Werner, Thorben, et al.
Published: (2025)
Loss-Driven Bayesian Active Learning
by: Huang, Zhuoyue, et al.
Published: (2026)
by: Huang, Zhuoyue, et al.
Published: (2026)
Self-Correcting Bayesian Optimization through Bayesian Active Learning
by: Hvarfner, Carl, et al.
Published: (2023)
by: Hvarfner, Carl, et al.
Published: (2023)
Bayesian Regression Markets
by: Falconer, Thomas, et al.
Published: (2023)
by: Falconer, Thomas, et al.
Published: (2023)
Distributionally Robust Active Learning for Gaussian Process Regression
by: Takeno, Shion, et al.
Published: (2025)
by: Takeno, Shion, et al.
Published: (2025)
Co-data Learning for Bayesian Additive Regression Trees
by: Goedhart, Jeroen M., et al.
Published: (2023)
by: Goedhart, Jeroen M., et al.
Published: (2023)
Generalization Error Bounds for Learning under Censored Feedback
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Solving Robotics Tasks with Prior Demonstration via Exploration-Efficient Deep Reinforcement Learning
by: Shen, Chengyandan, et al.
Published: (2025)
by: Shen, Chengyandan, et al.
Published: (2025)
Active Learning via Regression Beyond Realizability
by: Ganju, Atul, et al.
Published: (2025)
by: Ganju, Atul, et al.
Published: (2025)
A Large-Scale Analysis on the Use of Arrival Time Prediction for Automated Shuttle Services in the Real World
by: Schmidt, Carolin, et al.
Published: (2024)
by: Schmidt, Carolin, et al.
Published: (2024)
Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
by: Paul, Animesh Kumar, et al.
Published: (2025)
by: Paul, Animesh Kumar, et al.
Published: (2025)
Bayesian Active Learning in the Presence of Nuisance Parameters
by: Sloman, Sabina J., et al.
Published: (2023)
by: Sloman, Sabina J., et al.
Published: (2023)
Informed Initialization for Bayesian Optimization and Active Learning
by: Hvarfner, Carl, et al.
Published: (2025)
by: Hvarfner, Carl, et al.
Published: (2025)
Batch Active Learning in Gaussian Process Regression using Derivatives
by: Yu, Hon Sum Alec, et al.
Published: (2024)
by: Yu, Hon Sum Alec, et al.
Published: (2024)
Bayesian Additive Regression Networks
by: Van Boxel, Danielle
Published: (2024)
by: Van Boxel, Danielle
Published: (2024)
Learning to Allocate Resources with Censored Feedback
by: Montanari, Giovanni, et al.
Published: (2026)
by: Montanari, Giovanni, et al.
Published: (2026)
Censor Dependent Variational Inference
by: Liu, Chuanhui, et al.
Published: (2025)
by: Liu, Chuanhui, et al.
Published: (2025)
Active Learning for Manifold Gaussian Process Regression
by: Cheng, Yuanxing, et al.
Published: (2025)
by: Cheng, Yuanxing, et al.
Published: (2025)
Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment
by: Lassen, Oskar Bohn, et al.
Published: (2025)
by: Lassen, Oskar Bohn, et al.
Published: (2025)
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
by: Bajgar, Ondrej, et al.
Published: (2025)
by: Bajgar, Ondrej, et al.
Published: (2025)
Active Learning of Model Discrepancy with Bayesian Experimental Design
by: Yang, Huchen, et al.
Published: (2025)
by: Yang, Huchen, et al.
Published: (2025)
Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
by: Wu, Dongrui
Published: (2026)
by: Wu, Dongrui
Published: (2026)
Bayesian Additive Distribution Regression
by: Linero, Antonio R., et al.
Published: (2026)
by: Linero, Antonio R., et al.
Published: (2026)
In-Context Learning for Data-Driven Censored Inventory Control
by: Mukherjee, Sohom, et al.
Published: (2026)
by: Mukherjee, Sohom, et al.
Published: (2026)
Learning Survival Models with Right-Censored Reporting Delays
by: Shikuri, Yuta, et al.
Published: (2025)
by: Shikuri, Yuta, et al.
Published: (2025)
Similar Items
-
Diffusion-aware Censored Gaussian Processes for Demand Modelling
by: Rodrigues, Filipe
Published: (2025) -
Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
by: Lassen, Oskar Bohn, et al.
Published: (2025) -
Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques
by: Roark, Amalie, et al.
Published: (2025) -
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
by: Svensson, Emma, et al.
Published: (2024) -
Neural Networks for Censored Expectile Regression Based on Data Augmentation
by: Cao, Wei, et al.
Published: (2025)