68 citations · 319 across the 71 of their papers we have counts for
11 papers · 1 filter
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…
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…
Constrained Reweighting of Distributions: an Optimal Transport Approach
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
We commonly encounter the problem of identifying an optimally weight adjusted version of the empirical distribution of observed data, adhering to predefined constraints on the weig…
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya +1
Thompson sampling (TS) is one of the most popular and earliest algorithms to solve stochastic multi-armed bandit problems. We consider a variant of TS, named -TS, where we use a…
On the Convergence of Coordinate Ascent Variational Inference
Anirban Bhattacharya, Debdeep Pati, Yun Yang
As a computational alternative to Markov chain Monte Carlo approaches, variational inference (VI) is becoming more and more popular for approximating intractable posterior distribu…
Fair Clustering via Hierarchical Fair-Dirichlet Process
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
The advent of ML-driven decision-making and policy formation has led to an increasing focus on algorithmic fairness. As clustering is one of the most commonly used unsupervised mac…
Structured Optimal Variational Inference for Dynamic Latent Space Models
Peng Zhao, Anirban Bhattacharya, Debdeep Pati +1
We consider a latent space model for dynamic networks, where our objective is to estimate the pairwise inner products plus the intercept of the latent positions. To balance posteri…
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti +3
We consider the off-policy evaluation (OPE) problem in contextual bandits, where the goal is to estimate the value of a target policy using the data collected by a logging policy.…
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
We provide statistical guarantees for Bayesian variational boosting by proposing a novel small bandwidth Gaussian mixture variational family. We employ a functional version of Fran…
Sparse additive Gaussian process with soft interactions
Garret Vo, Debdeep Pati
Additive nonparametric regression models provide an attractive tool for variable selection in high dimensions when the relationship between the response and predictors is complex.…
Bayesian Clustering of Shapes of Curves
Zhengwu Zhang, Debdeep Pati, Anuj Srivastava
Unsupervised clustering of curves according to their shapes is an important problem with broad scientific applications. The existing model-based clustering techniques either rely o…