68 citations · 319 across the 71 of their papers we have counts for
8 papers · 1 filter
Bayesian Estimation of Continuous Brain Connectivity with Log-Gaussian Cox Processes
Jaehoan Kim, William Consagra, Debdeep Pati +1
Continuous structural connectivity describes the connection between any two points of the cortical surface by an intensity function. Based on the endpoints of tractography streamli…
TempoBridge: Language-Guided Tempo Control for Vision-Language-Action Policies
Yeonseo Lee, Hyosup Shin, Guebin Hwang +1
Vision-Language-Action (VLA) models are effective at understanding what task to perform, but provide limited control over how it should be executed, such as moving quickly or slowl…
Calibration-Free Robust Bayesian Inference for Discrete Unnormalized Models
Jiongran Wang, Debdeep Pati, Anirban Bhattacharya
Bayesian inference for discrete models with intractable normalizing constants is computationally challenging, particularly when the sample space is large or countably infinite. Alt…
Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya +1
We study a variant of the Thompson Sampling (TS) algorithm, called -TS, for solving stochastic generalized linear bandit problems. Existing analyses of TS require inflating the…
Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data
Jiongran Wang, Debdeep Pati, Anirban Bhattacharya
Many statistical models involve parameter-dependent normalizing constants that are computationally intractable, creating substantial obstacles to standard Bayesian inference. Altho…
Robust Simulation Based Inference Through Robust Optimal Transport
Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya +1
When a statistical model lacks analytically tractable likelihoods, parametric statistical inference based on data generated from an unknown underlying distributi…
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
Debdeep Pati
We highlight a striking difference in behavior between two widely used variants of coordinate ascent variational inference: the sequential and parallel algorithms. While such diffe…
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors
Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya +2
We study Gaussian Process Thompson Sampling (GP-TS) for sequential decision-making over compact, continuous action spaces and provide a frequentist regret analysis based on fractio…