vix.ing · top · new · best · stats · spec

Kashima, Hisashi

  1. Random Features Strengthen Graph Neural Networks
    2020/02/08 by Ryoma Sato, Sato, Ryoma, Makoto Yamada +3 · 17 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Estimation of low-rank tensors via convex optimization
    2010/10/05 by Ryota Tomioka, Kohei Hayashi, Tomioka, Ryota +3 · 8 citations
    Computer Science · Engineering · Mathematics · #Advanced Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
  3. Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
    2015/06/08 by Junpei Komiyama, Junya Honda, Komiyama, Junpei +5 · 9 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems
  4. Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
    2017/09/03 by Jill-Jênn Vie, Vie, Jill-Jênn, Florian Yger +12 · 1 voice
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Video Analysis and Summarization #cs.IR #cs.LG #stat.ML
  5. Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
    2018/11/08 by Jill-Jênn Vie, Hisashi Kashima, Vie, Jill-Jênn +1 · 4 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #Topic Modeling
  6. Approximation Ratios of Graph Neural Networks for Combinatorial Problems
    2019/05/24 by Sato, Ryoma, Yamada, Makoto, Kashima, Hisashi · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Parametric Return Density Estimation for Reinforcement Learning
    2012/03/15 by Tetsuro Morimura, Masashi Sugiyama, Morimura, Tetsuro +7 · 3 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  8. Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces
    2020/02/05 by Ryoma Sato, Sato, Ryoma, Marco Cuturi +5 · 4 citations
    Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
    2021/12/15 by Sein Minn, Jill-Jênn Vie, Minn, Sein +7 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Online Learning and Analytics #Topic Modeling
  10. Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
    2024/11/30 by Yasuaki Sumita, Koh Takeuchi, Sumita, Yasuaki +3 · 9 citations
    Computer Science · #Topic Modeling
  11. GraphITE: Estimating Individual Effects of Graph-structured Treatments
    2020/09/29 by Shonosuke Harada, Harada, Shonosuke, Hisashi Kashima +1 · 2 citations
    Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  12. Theoretical evidence for adversarial robustness through randomization
    2019/02/04 by Rafaël Pinot, Laurent Meunier, Pinot, Rafael +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  13. CrowDEA: Multi-view Idea Prioritization with Crowds
    2020/08/01 by Yukino Baba, Jiyi Li, Baba, Yukino +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing
  14. Re-evaluating Word Mover's Distance
    2021/05/30 by Ryoma Sato, Makoto Yamada, Sato, Ryoma +3 · 1 citation
    Computer Science · #Topic Modeling #Text and Document Classification Technologies #Natural Language Processing Techniques
  15. Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
    2025/02/18 by Joon Sik Park, Kyohei Atarashi, Park, Joon +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Algorithms #Recommender Systems and Techniques #Topic Modeling
  16. Feature Selection for Discovering Distributional Treatment Effect Modifiers
    2022/06/01 by Yoichi Chikahara, Makoto Yamada, Chikahara, Yoichi +3 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  17. Trustworthy Human Computation: A Survey
    2022/10/22 by Hisashi Kashima, Satoshi Oyama, Kashima, Hisashi +5 · 1 citation
    Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning
  18. Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
    2024/12/18 by Junki Mori, K. Kihara, Mori, Junki +9 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  19. Neural Double Auction Mechanism
    2024/12/16 by Tsuyoshi Suehara, Koh Takeuchi, Suehara, Tsuyoshi +9 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Supply Chain and Inventory Management
  20. AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
    2024/10/02 by Lu, Xiaotian, Li, Jiyi, Takeuchi, Koh +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences