Raquel Y. S. Aoki

Orcid: 0000-0003-0788-1368

According to our database1, Raquel Y. S. Aoki authored at least 12 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks.
CoRR, May, 2026

Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits.
CoRR, April, 2026

2025
No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning.
Trans. Mach. Learn. Res., 2025

2024
Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models.
CoRR, 2024

Counterfactual Explanations for Multivariate Time-Series without Training Datasets.
CoRR, 2024

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
Heterogeneous Multi-Task Learning With Expert Diversity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Causal Inference from Small High-dimensional Datasets.
CoRR, 2022

2021
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation.
CoRR, 2021

ParKCa: Causal Inference with Partially Known Causes.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2017
Luck is Hard to Beat: The Difficulty of Sports Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Medindo o tamanho da caixinha de surpresas em ligas de futebol.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016


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