Adityanand Guntuboyina

1. On the nonparametric maximum likelihood estimator for Gaussian location\n mixture densities with application to Gaussian denoising
   2017/12/05 by Sujayam Saha, Adityanand Guntuboyina, Saha, Sujayam +1 · 5 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · Mathematics · #Bayesian Methods and Mixture Models #Metabolomics and Mass Spectrometry Studies #Statistical Methods and Inference
2. Global risk bounds and adaptation in univariate convex regression
   2013/05/07 by Adityanand Guntuboyina, Bodhisattva Sen, Guntuboyina, Adityanand +1 · 4 citations
   Engineering · Mathematics · Medicine · #62C20 #62G08 #FOS: Mathematics #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #Systemic Lupus Erythematosus Research
3. On Bayes Risk Lower Bounds
   2014/10/02 by Xi Chen, Chen, Xi, Adityanand Guntuboyina +3 · 3 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Methods and Mixture Models #FOS: Mathematics #Statistical Methods and Inference #Statistics Theory (math.ST)
4. Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
   2020/06/03 by Gil Kur, Fuchang Gao, Kur, Gil +5 · 4 citations
   Engineering · Mathematics · #Advanced Statistical Methods and Models #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
5. Stochastically Transitive Models for Pairwise Comparisons: Statistical\n and Computational Issues
   2015/10/19 by Nihar B. Shah, Sivaraman Balakrishnan, Shah, Nihar B. +5 · 3 citations
   Computer Science · Economics, Econometrics and Finance · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Game Theory and Voting Systems #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Random Matrices and Applications
6. Two-Component Mixture Model in the Presence of Covariates
   2018/10/18 by Nabarun Deb, Sujayam Saha, Deb, Nabarun +5 · 2 citations
   Mathematics · #Statistical Methods in Clinical Trials #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
7. Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
   2017/02/16 by Adityanand Guntuboyina, Guntuboyina, Adityanand, Donovan Lieu +5 · 5 citations
   Mathematics · Engineering · #Statistical Methods and Inference #Sparse and Compressive Sensing Techniques #Mathematical Approximation and Integration
8. Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
   2019/03/04 by Billy Fang, Adityanand Guntuboyina, Fang, Billy +3 · 3 citations
   Mathematics · Decision Sciences · Engineering · #Statistical Methods and Inference #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques
9. On Suboptimality of Least Squares with Application to Estimation of Convex Bodies
   2020/06/07 by Gil Kur, Kur, Gil, Alexander Rakhlin +3 · 2 citations
   Computer Science · Engineering · Mathematics · #Computational Geometry (cs.CG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Metric Geometry (math.MG) #Point processes and geometric inequalities #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
10. A Nonparametric Maximum Likelihood Approach to Mixture of Regression
    2021/08/22 by Hansheng Jiang, Adityanand Guntuboyina, Jiang, Hansheng +1 · 2 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Advanced Statistical Methods and Models
11. The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
    2017/03/20 by Yuting Wei, Wei, Yuting, Martin J. Wainwright +3 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)