Sho Takemori - RankMe

27 papers A* 6A 5Misc 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adaptive LLM Routing under Budget Constraints. EMNLP (Findings) Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu, Sho Takemori, Vishal Sharma
2025	J	`jnl`	Adaptive LLM Routing under Budget Constraints. CoRR Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu, Sho Takemori, Vishal Sharma
2025	A*	`conf`	Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms. ICML Sho Takemori, Yuhei Umeda, Aditya Gopalan
2025	A*	`conf`	Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization. AAAI Nobuo Namura, Sho Takemori
2024	A	`conf`	Model-Based Best Arm Identification for Decreasing Bandits. AISTATS Sho Takemori, Yuhei Umeda, Aditya Gopalan
2024	A	`conf`	Quantum Kernelized Bandits. UAI Yasunari Hikima, Kazunori Murao, Sho Takemori, Yuhei Umeda
2024	J	`jnl`	Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization. CoRR Nobuo Namura, Sho Takemori
2024	A*	`conf`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2024	J	`jnl`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023	J	`jnl`	Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2022	A*	`conf`	Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
2022	A*	`conf`	Distributionally-Aware Kernelized Bandit Problems for Risk Aversion. ICML Sho Takemori
2021	A*	`conf`	Approximation Theory Based Methods for RKHS Bandits. ICML Sho Takemori, Masahiro Sato
2021	—	`conf`	Causality-Aware Neighborhood Methods for Recommender Systems. ECIR (1) Masahiro Sato, Janmajay Singh, Sho Takemori, Qian Zhang
2021	Misc	`conf`	Incorporating multi-level positive feedback to session-based nearest-neighbor. SAC Qian Zhang, Masahiro Sato, Sho Takemori, Tomoko Ohkuma
2020	J	`jnl`	Approximation Methods for Kernelized Bandits. CoRR Sho Takemori, Masahiro Sato
2020	J	`jnl`	Causality-Aware Neighborhood Methods for Recommender Systems. CoRR Masahiro Sato, Sho Takemori, Janmajay Singh, Qian Zhang
2020	Misc	`conf`	Modeling user exposure with recommendation influence. SAC Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma
2020	A	`conf`	Submodular Bandit Problem Under Multiple Constraints. UAI Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma
2020	J	`jnl`	Submodular Bandit Problem Under Multiple Constraints. CoRR Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma
2020	A	`conf`	Unbiased Learning for the Causal Effect of Recommendation. RecSys Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
2020	J	`jnl`	Unbiased Learning for the Causal Effect of Recommendation. CoRR Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
2019	J	`jnl`	Construction of Theta Series of Any Vector-Valued Weight and Applications to Lifts and Congruences. Exp. Math. Tomoyoshi Ibukiyama, Sho Takemori
2019	A	`conf`	Uplift-based evaluation and optimization of recommenders. RecSys Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma
2016	J	`jnl`	Congruence Primes of the Kim-Ramakrishnan-Shahidi Lift. Exp. Math. Hidenori Katsurada, Sho Takemori
2014	J	`jnl`	Congruence Relations for Siegel Modular Forms of Weight 47, 71, and 89. Exp. Math. Sho Takemori
2014	J	`jnl`	On the computation of the determinant of vector-valued Siegel modular forms. LMS J. Comput. Math. Sho Takemori