Skip to content
conftrace_

Yuta Saito

11 papers · 2020–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (21) πŸ’Ž Century Club Β· Bronze
πŸ”₯ Unstoppable Β· Bronze

Venues

ICLR (4) ICML (4) IJCAI (2) AAAI (1)

Top co-authors

Thorsten Joachims (3) Masahiro Nomura (2) Kosuke Kawakami (2) Haruka Kiyohara (2) Masataka Ushiku (1) Takuma Udagawa (1) Masahiro Asami (1) Shota Yasui (1) Yusuke Narita (1) Yuta Natsubori (1)

Research topics

Machine Learning (10) Reinforcement Learning (6) Methods (6) Core Methods (5) Learning Types (5) Optimization & Theory (5) Artificial Intelligence (2) Data Science & Analytics (2) Application Areas (2) Applications (2) Core AI (2) Knowledge & Reasoning (1) Reasoning (1)

Keywords

off-policy evaluation (7) contextual bandit (4) off-policy learning (3) importance sampling (3) importance weighting (2) inverse propensity score (2) variance reduction (2) logged data (2) counterfactual policy (2) cross-domain learning (1) policy selection (1) hyperparameter optimization (1) regression analysis (1) hyperparameter tuning (1) gradient estimator (1) policy gradient (1) surrogate objective (1) sharpe ratio (1) stratified sampling (1) rating prediction (1)

Papers

A General Framework for Off-Policy Learning with Partially-Observed Reward ICLR 2025 Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits ICLR 2025 POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition ICLR 2025 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation ICLR 2024 Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022 Towards Resolving Propensity Contradiction in Offline Recommender Learning IJCAI 2022 Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021 Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020