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Singh, Shashank

  1. Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
    2016/06/05 by Shashank Kumar Singh, Singh, Shashank, Barnabás Póczos +2 · 3 citations
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
  2. Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation
    2016/03/28 by Shashank Singh, Barnabás Póczos, Singh, Shashank +1 · 4 citations
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
  3. Nonparametric Density Estimation under Adversarial Losses
    2018/05/22 by Singh, Shashank, Uppal, Ananya, Li, Boyue +3 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  4. Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
    2019/02/09 by Ananya Uppal, Uppal, Ananya, Shashank Singh +3 · 2 citations
    Computer Science · Mathematics · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
  5. Optimal Binary Classification Beyond Accuracy
    2021/07/05 by Singh, Shashank, Khim, Justin · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  6. Exponential Concentration of a Density Functional Estimator
    2016/03/28 by Shashank Singh, Singh, Shashank, Barnabás P óczos +1 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Control Systems and Identification #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  7. Generalized Exponential Concentration Inequality for R 'enyi Divergence\n Estimation
    2016/03/28 by Shashank Kumar Singh, Barnabás Póczos, Singh, Shashank +1 · 1 citation
    Computer Science · Engineering · Mathematics · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
  8. Nonparanormal Information Estimation
    2017/02/24 by Shashank Singh, Barnabás Póczos, Singh, Shashank +1 · 1 citation
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
  9. Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
    2023/07/19 by Cian Eastwood, Shashank Kumar Singh, Eastwood, Cian +9 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
  10. Continuum-Armed Bandits: A Function Space Perspective
    2020/10/15 by Singh, Shashank · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  11. Probable Domain Generalization via Quantile Risk Minimization
    2022/07/20 by Eastwood, Cian, Robey, Alexander, Singh, Shashank +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Minimax Distribution Estimation in Wasserstein Distance
    2018/02/24 by Shashank Singh, Singh, Shashank, Barnabás Póczos +1 · 1 citation
    Mathematics · Decision Sciences · #Point processes and geometric inequalities #Geometric Analysis and Curvature Flows #Risk and Portfolio Optimization