The following is a list of my publications and preprints. A complete list can be found on Google Scholar.
Confidence Sets for Multidimensional Scaling
Siddharth Vishwanath, Ery Arias-Castro
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
Siddharth Vishwanath, Jonathan Hehir
International Conference on Artificial Intelligence and Statistics. AISTATS
Minimax Optimality of Classical Scaling Under General Noise Conditions
Siddharth Vishwanath, Ery Arias-Castro
Stability of Sequential Lateration and of Stress Minimization in the Presence of Noise
Ery Arias-Castro, Siddharth Vishwanath
SIAM Journal on the Mathematics of Data Science
Repelling-Attracting Hamiltonian Monte Carlo
Siddharth Vishwanath, Hyungsuk Tak
Adversarially Robust Topological Inference
Siddharth Vishwanath, Bharath Sriperumbudur, Kenji Fukumizu, and Satoshi Kuriki
On the limits of Topological Data Analysis for Statistical Inference
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki, and Bharath Sriperumbudur
Foundations of Data Science
Monolith Soil Core Sampling to Develop Nitrate Testing Protocol for Manure Injection
Robert J. Meinen, Douglas B. Beegle, Siddharth Vishwanath, Peter J. A. Kleinman, Louis S. Saporito, John Spargo, Heather Karsten, Justin Dillon
Soil Science Society of America Journal. Springer
The Shape of Edge Differential Privacy
Siddharth Vishwanath, Jonathan Hehir
Theory and Practice of Differential Privacy Workshop, ICML
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki, and Bharath Sriperumbudur
Advances in Neural Information Processing Systems. NeurIPS
Bayesian Inference and Optimal Censoring Scheme under Progressive Censoring
Siddharth Vishwanath, Debasis Kundu
Advances in Reliability and System Engineering. Springer
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