Abe, Naoki

31 publications

ICML 2025 ITBench: Evaluating AI Agents Across Diverse Real-World IT Automation Tasks Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-Wook Ahn, Debanjana Kar, Amit Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. M. Fuller, Ruchir Puri

TMLR 2024 Directed Graph Transformers Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J Zaki

AISTATS 2024 Learning Granger Causality from Instance-Wise Self-Attentive Hawkes Processes Dongxia Wu, Tsuyoshi Ide, Georgios Kollias, Jiri Navratil, Aurelie Lozano, Naoki Abe, Yian Ma, Rose Yu

AAAI 2023 Fault Injection Based Interventional Causal Learning for Distributed Applications Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz

AAAI 2022 Directed Graph Auto-Encoders Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

AAAI 2021 Anomaly Attribution with Likelihood Compensation Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

NeurIPS 2021 Cardinality-Regularized Hawkes-Granger Model Tsuyoshi Ide, Georgios Kollias, Dzung Phan, Naoki Abe

AISTATS 2011 Group Orthogonal Matching Pursuit for Logistic Regression Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe

NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction Grzegorz Swirszcz, Naoki Abe, Aurelie C. Lozano

ALT 2001 Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings Naoki Abe, Roni Khardon, Thomas Zeugmann

ALT 2001 Editors' Introduction Naoki Abe, Roni Khardon, Thomas Zeugmann

ICML 2000 Efficient Mining from Large Databases by Query Learning Hiroshi Mamitsuka, Naoki Abe

ICML 1999 Associative Reinforcement Learning Using Linear Probabilistic Concepts Naoki Abe, Philip M. Long

ICML 1999 Learning to Optimally Schedule Internet Banner Advertisements Naoki Abe, Atsuyoshi Nakamura

ICML 1998 Collaborative Filtering Using Weighted Majority Prediction Algorithms Atsuyoshi Nakamura, Naoki Abe

ICML 1998 Query Learning Strategies Using Boosting and Bagging Naoki Abe, Hiroshi Mamitsuka

MLJ 1997 Predicting Protein Secondary Structure Using Stochastic Tree Grammars Naoki Abe, Hiroshi Mamitsuka

ICML 1996 Learning Word Association Norms Using Tree Cut Pair Models Naoki Abe, Hang Li

ICML 1995 On-Line Learning of Binary Lexical Relations Using Two-Dimensional Weighted Majority Algorithms Naoki Abe, Hang Li, Atsuyoshi Nakamura

COLT 1995 On-Line Learning of Binary and N-Ary Relations over Multi-Dimensional Clusters Atsuyoshi Nakamura, Naoki Abe

ICML 1994 A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars Naoki Abe, Hiroshi Mamitsuka

ALT 1994 Efficient Distribution-Free Population Learning of Simple Concepts Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi

ALT 1994 Towards Realistic Theories of Learning Naoki Abe

ALT 1993 Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries Atsuyoshi Nakamura, Naoki Abe

COLT 1993 The "lob-Pass" Problem and an On-Line Learning Model of Rational Choice Naoki Abe, Jun'ichi Takeuchi

MLJ 1992 On the Computational Complexity of Approximating Distributions by Probabilistic Automata Naoki Abe, Manfred K. Warmuth

COLT 1991 Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi

ALT 1991 Preservation of Predictability Under Polynomial Sparse Variations and Its Applications Naoki Abe

ALT 1990 Learning Commutative Deterministic Finite State Automata in Polynomial Time Naoki Abe

COLT 1990 On the Computational Complexity of Approximating Distributions by Probabilistic Automata Naoki Abe, Manfred K. Warmuth

COLT 1989 Polynomial Learnability of Semilinear Sets Naoki Abe