Sho Takemori

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Approximation Methods

Positive Feedback

Recommender Systems

Bandit Problems

Top Venues

Publications

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR (2024)
Sho Takemori, Yuhei Umeda, Aditya Gopalan
Model-Based Best Arm Identification for Decreasing Bandits. AISTATS (2024)
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR (2024)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR (2023)
Sho Takemori
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion. ICML (2022)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS (2022)
Masahiro Sato, Janmajay Singh, Sho Takemori, Qian Zhang
Causality-Aware Neighborhood Methods for Recommender Systems. ECIR (1) (2021)
Sho Takemori, Masahiro Sato
Approximation Theory Based Methods for RKHS Bandits. ICML (2021)
Qian Zhang, Masahiro Sato, Sho Takemori, Tomoko Ohkuma
Incorporating multi-level positive feedback to session-based nearest-neighbor. SAC (2021)
Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma
Submodular Bandit Problem Under Multiple Constraints. CoRR (2020)
Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma
Submodular Bandit Problem Under Multiple Constraints. UAI (2020)
Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
Unbiased Learning for the Causal Effect of Recommendation. CoRR (2020)
Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
Unbiased Learning for the Causal Effect of Recommendation. RecSys (2020)
Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma
Modeling user exposure with recommendation influence. SAC (2020)
Sho Takemori, Masahiro Sato
Approximation Methods for Kernelized Bandits. CoRR (2020)
Masahiro Sato, Sho Takemori, Janmajay Singh, Qian Zhang
Causality-Aware Neighborhood Methods for Recommender Systems. CoRR (2020)
Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma
Uplift-based evaluation and optimization of recommenders. RecSys (2019)
Tomoyoshi Ibukiyama, Sho Takemori
Construction of Theta Series of Any Vector-Valued Weight and Applications to Lifts and Congruences. Exp. Math. 28 (1) (2019)
Hidenori Katsurada, Sho Takemori
Congruence Primes of the Kim-Ramakrishnan-Shahidi Lift. Exp. Math. 25 (3) (2016)
Sho Takemori
On the computation of the determinant of vector-valued Siegel modular forms. LMS J. Comput. Math. 17 (Theory) (2014)
Sho Takemori
Congruence Relations for Siegel Modular Forms of Weight 47, 71, and 89. Exp. Math. 23 (4) (2014)