Sho Takemori

Orcid: 0000-0003-2303-824X

According to our database1, Sho Takemori authored at least 16 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Model-Based Best Arm Identification for Decreasing Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally-Aware Kernelized Bandit Problems for Risk Aversion.
Proceedings of the International Conference on Machine Learning, 2022

2021
Incorporating multi-level positive feedback to session-based nearest-neighbor.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Approximation Theory Based Methods for RKHS Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

Causality-Aware Neighborhood Methods for Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2021

2020
Approximation Methods for Kernelized Bandits.
CoRR, 2020

Submodular Bandit Problem Under Multiple Constraints.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Modeling user exposure with recommendation influence.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Unbiased Learning for the Causal Effect of Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Construction of Theta Series of Any Vector-Valued Weight and Applications to Lifts and Congruences.
Exp. Math., 2019

Uplift-based evaluation and optimization of recommenders.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2016
Congruence Primes of the Kim-Ramakrishnan-Shahidi Lift.
Exp. Math., 2016

2014
On the computation of the determinant of vector-valued Siegel modular forms.
LMS J. Comput. Math., 2014

Congruence Relations for Siegel Modular Forms of Weight 47, 71, and 89.
Exp. Math., 2014


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