Natesh S. Pillai
Harvard University
H-index: 31
North America-United States
Top articles of Natesh S. Pillai
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Towards understanding the dynamics of Gaussian-stein variational gradient descent | Advances in Neural Information Processing Systems | Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh Pillai | 2024/2/13 |
Fast and memory-optimal dimension reduction using Kac’s walk | The Annals of Applied Probability | Vishesh Jain Natesh S Pillai Ashwin Sah Mehtaab Sawhney Aaron Smith | 2022/10 |
Rate-optimal refinement strategies for local approximation MCMC | Statistics and Computing | Andrew D Davis Youssef Marzouk Aaron Smith Natesh Pillai | 2022/8 |
Weak separation in mixture models and implications for principal stratification | Nhat Ho Avi Feller Evan Greif Luke Miratrix Natesh Pillai | 2022/5/3 | |
Optimal scaling for the Proximal Langevin Algorithm in high dimensions | arXiv preprint arXiv:2204.10793 | Natesh S Pillai | 2022/4/21 |
A Bayesian Gaussian Process for Estimating a Causal Exposure Response Curve in Environmental Epidemiology | arXiv preprint arXiv:2105.03454 | Boyu Ren Xiao Wu Danielle Braun Natesh Pillai Francesca Dominici | 2021/5/7 |
Late 19th century navigational uncertainties and their influence on sea surface temperature estimates | Chenguang Dai Duo Chan Peter Huybers Natesh Pillai | 2021/3 | |
Simple conditions for metastability of continuous Markov chains | Journal of Applied Probability | Oren Mangoubi Natesh Pillai Aaron Smith | 2021/3 |
Universality and least singular values of random matrix products: A simplified approach | Bernoulli | Rohit Chaudhuri Vishesh Jain Natesh S Pillai | 2021/11 |
Designs for estimating the treatment effect in networks with interference | Annals of Statistics | Ravi Jagadeesan Natesh S Pillai Alexander Volfovsky | 2020/4/1 |
Diagnosing missing always at random in multivariate data | Biometrika | Iavor I Bojinov Natesh S Pillai Donald B Rubin | 2020/3/1 |
Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields | Iscience | Kang Jiang Zhihua Pan Feifei Pan Adriaan J Teuling Guolin Han | 2023/6/16 |
No free lunch for approximate MCMC | arXiv preprint arXiv:2010.12514 | James E Johndrow Natesh S Pillai Aaron Smith | 2020/10/23 |
Optimal scaling of the MALA algorithm with irreversible proposals for Gaussian targets | Stochastics and Partial Differential Equations: Analysis and Computations | Michela Ottobre Natesh S Pillai Konstantinos Spiliopoulos | 2020/6 |
