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Rostamizadeh, Afshin

  1. Domain Adaptation: Learning Bounds and Algorithms
    2009/02/19 by Yishay Mansour, Mehryar Mohri, Mansour, Yishay +3 · 62 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
  2. DistillSpec: Improving Speculative Decoding via Knowledge Distillation
    2023/10/12 by Yongchao Zhou, Zhou, Yongchao, Kaifeng Lyu +13 · 17 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  3. An Analysis of SVD for Deep Rotation Estimation
    2020/06/25 by Jake Levinson, Levinson, Jake, Carlos Esteves +11 · 10 citations
    Engineering · Computer Science · #Robotics and Sensor-Based Localization #Optical measurement and interference techniques #Advanced Vision and Imaging
  4. Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
    2008/11/11 by Mehryar Mohri, Mohri, Mehryar, Afshin Rostamizadeh +1 · 6 citations
    Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
  5. Learning Prices for Repeated Auctions with Strategic Buyers
    2013/11/26 by Kareem Amin, Afshin Rostamizadeh, Amin, Kareem +3 · 7 citations
    Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG)
  6. Sample Selection Bias Correction Theory
    2008/05/19 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +5 · 5 citations
    Computer Science · Mathematics · #Neural Networks and Applications #Advanced Statistical Methods and Models #Evolutionary Algorithms and Applications
  7. L2 Regularization for Learning Kernels
    2012/05/09 by Corinna Cortes, Mehryar Mohri, Cortes, Corinna +3 · 5 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
  8. Batch Active Learning at Scale
    2021/07/29 by Gui Citovsky, Giulia DeSalvo, Citovsky, Gui +11 · 8 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Teaching and Learning Programming #Robot Manipulation and Learning
  9. Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
    2018/06/26 by Shanshan Wu, Wu, Shanshan, Alexandros G. Dimakis +13 · 5 citations
    Engineering · #CCD and CMOS Imaging Sensors #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
  10. This Time is Different: An Observability Perspective on Time Series Foundation Models
    2025/05/20 by B I Cohen, Emaad Khwaja, Cohen, Ben +33 · 16 citations
    Decision Sciences · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods
  11. Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
    2020/10/11 by Maruan Al-Shedivat, Jennifer Gillenwater, Al-Shedivat, Maruan +5 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  12. Multiple Source Adaptation and the Renyi Divergence
    2012/05/09 by Mansour, Yishay, Mohri, Mehryar, Rostamizadeh, Afshin · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Matrix Coherence and the Nystrom Method
    2014/08/09 by Talwalkar, Ameet, Rostamizadeh, Afshin · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
    2024/10/24 by Rawat, Ankit Singh, Sadhanala, Veeranjaneyulu, Rostamizadeh, Afshin +12 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
    2019/12/02 by Shuang Song, David Berthelot, Song, Shuang +3 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Handwritten Text Recognition Techniques
  16. SoftSRV: Learn to Generate Targeted Synthetic Data
    2024/10/21 by Giulia DeSalvo, Jean-Fracois Kagy, DeSalvo, Giulia +7 · 2 citations
    Agricultural and Biological Sciences · #Animal Virus Infections Studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Plant Virus Research Studies