Anirban Bhattacharya
13 papers · 2015–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19)
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Century Club · Bronze
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Unstoppable · Bronze
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(11)
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variational inference
(6)
bayesian inference
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markov chain monte carlo
(3)
variational baye
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regret bound
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mean-field approximation
(2)
bayesian learning
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belief propagation
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learning theory
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latent dirichlet allocation
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density estimation
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minimax optimality
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posterior sampling
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statistical inference
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high-dimensional estimation
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logistic regression
(1)
posterior distribution
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message passing
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posterior inference
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marginal likelihood
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Papers
Estimation of Large Zipfian Distributions with Sort and Snap
AISTATS 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples
JMLR 2025
Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median
AISTATS 2025
Structured Optimal Variational Inference for Dynamic Latent Space Models
JMLR 2024
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models
JMLR 2022
Structured variational inference in Bayesian state-space models
AISTATS 2022
A Hybrid Approximation to the Marginal Likelihood
AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
AISTATS 2021
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits
ICML 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior
JMLR 2020
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
ICML 2019
On Statistical Optimality of Variational Bayes
AISTATS 2018
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
JMLR 2015