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Maity, Subha

  1. A linear adjustment based approach to posterior drift in transfer learning
    2021/11/21 by Subha Maity, Maity, Subha, Diptavo Dutta +7 · 4 citations
    Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  2. Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
    2019/12/26 by Maity, Subha, Sun, Yuekai, Banerjee, Moulinath · 2 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  3. Minimax optimal approaches to the label shift problem in non-parametric settings
    2020/03/23 by Subha Maity, Maity, Subha, Yuekai Sun +3 · 2 citations
    Computer Science · #Machine Learning and Algorithms #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
  4. Understanding new tasks through the lens of training data via exponential tilting
    2022/05/26 by Subha Maity, Maity, Subha, Mikhail Yurochkin +5 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications
  5. CARROT: A Cost Aware Rate Optimal Router
    2025/02/05 by Somerstep, Seamus, Polo, Felipe Maia, de Oliveira, Allysson Flavio Melo +5 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Networking and Internet Architecture (cs.NI) #Statistics Theory (math.ST)
  6. Does enforcing fairness mitigate biases caused by subpopulation shift?
    2020/11/06 by Subha Maity, Debarghya Mukherjee, Maity, Subha +5 · 1 citation
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  7. Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
    2022/05/26 by Maity, Subha, Mukherjee, Debarghya, Banerjee, Moulinath +1 · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Simple Disentanglement of Style and Content in Visual Representations
    2023/02/20 by Lilian Ngweta, Subha Maity, Ngweta, Lilian +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  9. Aligners: Decoupling LLMs and Alignment
    2024/03/07 by Ngweta, Lilian, Agarwal, Mayank, Maity, Subha +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Learning the Distribution Map in Reverse Causal Performative Prediction
    2024/05/24 by Daniele Bracale, Bracale, Daniele, Subha Maity +5 · 1 citation
    Computer Science · Social Sciences · #Anomaly Detection Techniques and Applications #Bayesian Modeling and Causal Inference #Computational and Text Analysis Methods #cs.LG #stat.ML
  11. Microfoundation Inference for Strategic Prediction
    2024/11/13 by Daniele Bracale, Subha Maity, Bracale, Daniele +9 · 1 citation
    Business, Management and Accounting · #Big Data and Business Intelligence #cs.LG #stat.ME #stat.ML