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Dasarathy, Gautam

  1. Multi-fidelity Bayesian Optimisation with Continuous Approximations
    2017/03/18 by Kandasamy, Kirthevasan, Dasarathy, Gautam, Schneider, Jeff +1 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  2. A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization
    2019/06/05 by Sypherd, Tyler, Diaz, Mario, Cava, John Kevin +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Multi-fidelity Gaussian Process Bandit Optimisation
    2016/03/20 by Kandasamy, Kirthevasan, Dasarathy, Gautam, Oliva, Junier B. +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. The Multi-fidelity Multi-armed Bandit
    2016/10/30 by Kandasamy, Kirthevasan, Dasarathy, Gautam, Schneider, Jeff +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
    2018/06/12 by Amirali Aghazadeh, Ryan Spring, Aghazadeh, Amirali +9 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  6. Regularization via Structural Label Smoothing
    2020/01/07 by Weizhi Li, Li, Weizhi, Gautam Dasarathy +3 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  7. Graph quilting: graphical model selection from partially observed\n covariances
    2019/12/11 by Giuseppe Vinci, Gautam Dasarathy, Vinci, Giuseppe +3 · 3 citations
    Neuroscience · Computer Science · Environmental Science · #Functional Brain Connectivity Studies #Bayesian Modeling and Causal Inference #Health, Environment, Cognitive Aging
  8. Differentiable Programming for Hyperspectral Unmixing using a\n Physics-based Dispersion Model
    2020/07/12 by John Janiczek, Janiczek, John, Parth Thaker +9 · 1 citation
    Engineering · Environmental Science · #Advanced Image Fusion Techniques #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Remote Sensing in Agriculture #Remote-Sensing Image Classification #electronic engineering #information engineering
  9. On the alpha-loss Landscape in the Logistic Model
    2020/06/22 by Sypherd, Tyler, Diaz, Mario, Sankar, Lalitha +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Transmission Line Parameter Estimation Under Non-Gaussian Measurement Noise
    2022/08/28 by Varghese, Antos Cheeramban, Pal, Anamitra, Dasarathy, Gautam · 1 citation
    #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
  11. On Characterizations of Potential and Ordinal Potential Games
    2024/05/10 by Arefizadeh, Sina, Nedich, Angelia, Dasarathy, Gautam · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
  12. Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching
    2024/10/30 by Vineet Sunil Gattani, Junshan Zhang, Gattani, Vineet Sunil +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Wireless Communication Security Techniques