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Samet Oymak

  1. Transformers as Support Vector Machines
    2023/08/31 by Davoud Ataee Tarzanagh, Tarzanagh, Davoud Ataee, Yingcong Li +5 · 5 voices · 5 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
  2. Mechanics of Next Token Prediction with Self-Attention
    2024/03/12 by Yingcong Li, Yixiao Huang, Li, Yingcong +7 · 2 voices · 5 citations
    Engineering · #Metallurgy and Material Forming #Robotic Mechanisms and Dynamics
  3. Transformers as Algorithms: Generalization and Stability in In-context Learning
    2023/01/17 by Yingcong Li, Li, Yingcong, M. Emrullah Ildiz +5 · 25 citations
    Computer Science · #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
  4. Towards moderate overparameterization: global convergence guarantees for training shallow neural networks
    2019/02/12 by Samet Oymak, Oymak, Samet, Mahdi Soltanolkotabi +1 · 22 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and Algorithms
  5. Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
    2019/06/12 by Samet Oymak, Oymak, Samet, Zalan Fabian +5 · 14 citations
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
  6. From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
    2024/02/21 by M. Emrullah Ildiz, Ildiz, M. Emrullah, Yixiao Huang +7 · 7 citations
    Computer Science · #Reinforcement Learning in Robotics
  7. Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
    2018/12/25 by Samet Oymak, Mahdi Soltanolkotabi, Oymak, Samet +1 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  8. Selective Attention: Enhancing Transformer through Principled Context Control
    2024/11/19 by Xuechen Zhang, Xiangyu Chang, Zhang, Xuechen +10 · 1 voice · 6 citations
    Psychology · #cs.LG #cs.CL
  9. Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
    2024/07/13 by Yingcong Li, Ankit Singh Rawat, Li, Yingcong +3 · 7 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  10. Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
    2020/02/20 by Yahya Sattar, Sattar, Yahya, Samet Oymak +1 · 3 citations
    Computer Science · Engineering · Physics and Astronomy · #Applications (stat.AP) #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  11. Retrieval Augmented Time Series Forecasting
    2024/11/12 by Kutay Tire, Ege Onur Taga, Tire, Kutay +5 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  12. High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
    2024/10/24 by M. Emrullah Ildiz, Halil Alperen Gozeten, Ildiz, M. Emrullah +7 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  13. Finite Sample Identification of Bilinear Dynamical Systems
    2022/08/29 by Yahya Sattar, Sattar, Yahya, Samet Oymak +3 · 3 citations
    Engineering · Physics and Astronomy · Computer Science · #Control Systems and Identification #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
  14. TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
    2025/02/22 by Ege Onur Taga, M. Emrullah Ildiz, Taga, Ege Onur +3 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  15. Max-Margin Token Selection in Attention Mechanism
    2023/06/23 by Davoud Ataee Tarzanagh, Tarzanagh, Davoud Ataee, Yingcong Li +5 · 3 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  16. Effective Restoration of Source Knowledge in Continual Test Time Adaptation
    2023/11/08 by Fahim Faisal Niloy, Niloy, Fahim Faisal, Sk Miraj Ahmed +7 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information
    2013/12/02 by Samet Oymak, Christos Thrampoulidis, Oymak, Samet +3 · 2 citations
    Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Optimization and Control (math.OC) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
  18. Extrapolation by Association: Length Generalization Transfer in Transformers
    2025/06/10 by Nayoung Lee, Cai, Ziyang, Lee, Nayoung +6 · 5 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Multimodal Machine Learning Applications #Topic Modeling
  19. On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?
    2020/11/16 by Yao-Chun Chan, Chan, Yao-Chun, Mingchen Li +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Multimodal Machine Learning Applications
  20. Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
    2020/11/16 by Christos Thrampoulidis, Samet Oymak, Thrampoulidis, Christos +3 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
  21. Non-Stationary Representation Learning in Sequential Linear Bandits
    2022/01/13 by Yuzhen Qin, Tommaso Menara, Qin, Yuzhen +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  22. Label-Imbalanced and Group-Sensitive Classification under Overparameterization
    2021/03/02 by Ganesh Ramachandra Kini, Kini, Ganesh Ramachandra, Orestis Paraskevas +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
  23. FedYolo: Augmenting Federated Learning with Pretrained Transformers
    2023/07/10 by Xuechen Zhang, Zhang, Xuechen, Mingchen Li +11 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Age of Information Optimization
  24. Learning Compact Neural Networks with Regularization
    2018/02/05 by Samet Oymak, Oymak, Samet · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  25. Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement
    2025/05/12 by Xuechen Zhang, Zhang, Xuechen, Chun‐Lin Ni +8 · 3 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  26. When and How Unlabeled Data Provably Improve In-Context Learning
    2025/06/18 by Yingcong Li, Li, Yingcong, Xiangyu Chang +8 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)