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Afshin Rostamizadeh

  1. Domain Adaptation: Learning Bounds and Algorithms
    2009/02/19 by Yishay Mansour, Mansour, Yishay, Mehryar Mohri +3 · 91 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
  2. Learning Prices for Repeated Auctions with Strategic Buyers
    2013/11/26 by Kareem Amin, Amin, Kareem, Afshin Rostamizadeh +3 · 19 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)
  3. DistillSpec: Improving Speculative Decoding via Knowledge Distillation
    2023/10/12 by Yongchao Zhou, Kaifeng Lyu, Zhou, Yongchao +13 · 31 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
  4. L2 Regularization for Learning Kernels
    2012/05/09 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +3 · 12 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
  5. An Analysis of SVD for Deep Rotation Estimation
    2020/06/25 by Jake Levinson, Carlos Esteves, Levinson, Jake +11 · 16 citations
    Engineering · Computer Science · #Robotics and Sensor-Based Localization #Optical measurement and interference techniques #Advanced Vision and Imaging
  6. Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
    2008/11/11 by Mehryar Mohri, Afshin Rostamizadeh, Mohri, Mehryar +1 · 9 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)
  7. Sample Selection Bias Correction Theory
    2008/05/19 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +5 · 8 citations
    Computer Science · Mathematics · #Neural Networks and Applications #Advanced Statistical Methods and Models #Evolutionary Algorithms and Applications
  8. Batch Active Learning at Scale
    2021/07/29 by Gui Citovsky, Citovsky, Gui, Giulia DeSalvo +11 · 13 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Teaching and Learning Programming #Robot Manipulation and Learning
  9. Multiple Source Adaptation and the Renyi Divergence
    2012/05/09 by Yishay Mansour, Mehryar Mohri, Mansour, Yishay +3 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Speech and Audio Processing
  10. Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
    2020/10/11 by Maruan Al-Shedivat, Al-Shedivat, Maruan, Jennifer Gillenwater +5 · 6 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
  11. Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
    2018/06/26 by Shanshan Wu, Alexandros G. Dimakis, Wu, Shanshan +13 · 6 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
  12. This Time is Different: An Observability Perspective on Time Series Foundation Models
    2025/05/20 by B I Cohen, Cohen, Ben, Emaad Khwaja +33 · 19 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
  13. A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
    2024/10/24 by Ankit Singh Rawat, Rawat, Ankit Singh, Veeranjaneyulu Sadhanala +27 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Is margin all you need? An extensive empirical study of active learning on tabular data
    2022/10/07 by Dara Bahri, Bahri, Dara, Heinrich Jiang +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  15. Categorical Feature Compression via Submodular Optimization
    2019/04/30 by MohammadHossein Bateni, Lin Chen, Bateni, MohammadHossein +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  16. 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
  17. Perceptron Mistake Bounds
    2013/05/01 by Mehryar Mohri, Afshin Rostamizadeh, Mohri, Mehryar +1 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
  18. SoftSRV: Learn to Generate Targeted Synthetic Data
    2024/10/21 by Giulia DeSalvo, DeSalvo, Giulia, Jean-Fracois Kagy +7 · 2 citations
    Agricultural and Biological Sciences · #Animal Virus Infections Studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Plant Virus Research Studies
  19. Leveraging Importance Weights in Subset Selection
    2023/01/28 by Gui Citovsky, Citovsky, Gui, Giulia DeSalvo +9 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Data Stream Mining Techniques