Arnab Bhattacharyya

9 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

ICML ×3 AISTATS ×2 NeurIPS ×2 AAAI ×1 ICLR ×1

Frequent coauthors

Sutanu Gayen

×4

Davin Choo

×4

Themistoklis Gouleakis

×4

Dimitrios Myrisiotis

×3

N. V. Vinodchandran

×3

Philips George John

×3

Kuldeep S. Meel

×2

A. Pavan

×2

Yuhao Wang

×2

Sayantan Sen

×1

Constantinos Daskalakis

×1

Chun Kai Ling

×1

Papers

Computational Explorations of Total Variation Distance
ICLR 2025 · Arnab Bhattacharyya,
Sutanu Gayen
,
Kuldeep S. Meel
,
Dimitrios Myrisiotis
,
Aduri Pavan
,
N. V. Vinodchandran
Distribution Learning Meets Graph Structure Sampling
NeurIPS 2025 · Arnab Bhattacharyya,
Sutanu Gayen
,
Philips George John
,
Sayantan Sen
,
N. V. Vinodchandran
Learnability of Parameter-Bounded Bayes Nets
AAAI 2025 · Arnab Bhattacharyya,
Davin Choo
,
Sutanu Gayen
,
Dimitrios Myrisiotis
Learning High-dimensional Gaussians from Censored Data
AISTATS 2025 · Arnab Bhattacharyya,
Constantinos Daskalakis
,
Themis Gouleakis
,
Yuhao Wang
Learning multivariate Gaussians with imperfect advice
ICML 2025 · Arnab Bhattacharyya,
Davin Choo
,
Philips George John
,
Themis Gouleakis
Product Distribution Learning with Imperfect Advice
NeurIPS 2025 · Arnab Bhattacharyya,
Davin Choo
,
Philips George John
,
Themis Gouleakis
Online bipartite matching with imperfect advice
ICML 2024 ·
Davin Choo
,
Themistoklis Gouleakis
,
Chun Kai Ling
, Arnab Bhattacharyya
Optimal estimation of Gaussian (poly)trees
AISTATS 2024 ·
Yuhao Wang
,
Ming Gao
,
Wai Ming Tai
,
Bryon Aragam
, Arnab Bhattacharyya
Total Variation Distance Meets Probabilistic Inference
ICML 2024 · Arnab Bhattacharyya,
Sutanu Gayen
,
Kuldeep S. Meel
,
Dimitrios Myrisiotis
,
A. Pavan
,
N. V. Vinodchandran