Publications

2025

• Transaction Categorization with Relational Deep Learning in QuickBooks
  K Dong, P Jonnalagedda, X Gao, A Acharya, M Kissa, M Flores, et al.
  ECML-PKDD 2025

2024

• A Precise Characterization of SGD Stability Using Loss Surface Geometry
  G Dexter, B Ocejo, S Keerthi, A Gupta, A Acharya, R Khanna
  ICLR 2024 arXiv

2023

• Hierarchical Topic Machine Learning Operation
  A Acharya, M Sanchez
  US Patent 11,631,016 2023
• Cognitive Browse Operation
  N Chawla, M Sanchez, AM Ricaurte, D Ranatunga, A Acharya, et al.
  US Patent 11,847,536 2023
• Improved Deep Neural Network Generalization using m-Sharpness-Aware Minimization
  K Behdin, Q Song, A Gupta, D Durfee, A Acharya, S Keerthi, R Mazumder
  NeurIPS OPT Workshop 2023 arXiv
• mSAM: Micro-batch-averaged Sharpness-aware Minimization
  K Behdin, Q Song, A Gupta, S Keerthi, A Acharya, B Ocejo, G Dexter, et al.
  arXiv 2023 arXiv
• Promoting Inactive Members in an Edge-Building Marketplace
  A Acharya, S Gao, B Ocejo, K Basu, A Saha, K Selvaraj, R Mazumder, et al.
  WWW (Companion) 2023
• Optimizing for Member Value in an Edge Building Marketplace
  A Acharya, S Gao, A Saha, B Ocejo, K Basu, K Selvaraj, R Mazumder, et al.
  CIKM 2023
• Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference
  A Gupta, SS Keerthi, A Acharya, M Cheng, B Ocejo, et al.
  KDD 2023
• QuantEase: Optimization-based Quantization for Language Models
  K Behdin, A Acharya, A Gupta, Q Song, S Zhu, S Keerthi, R Mazumder
  arXiv 2023 arXiv

2022

• Variational Graph Auto-Encoders for Heterogeneous Information Networks
  A Dalvi, A Acharya, J Gao, VG Honavar
  NeurIPS GLFrontiers Workshop 2022

2021

• Removal of Engagement Bias in Online Service
  P Agrawal, A Jain, A Saha, A Acharya
  US Patent App. 16/821,198 2021
• Augmented Gamma Belief Network Operation
  A Acharya, M Sanchez
  US Patent 10,885,465 2021

2020

• Cognitive Attribution
  N Chawla, M Sanchez, AM Ricaurte, D Ranatunga, A Acharya, et al.
  US Patent 10,643,139 2020
• Isometric Graph Neural Networks
  M Walker, B Yan, Y Xiao, Y Wang, A Acharya
  arXiv 2020 arXiv

2019

• Combining Clustering and Active Learning for the Detection and Learning of New Image Classes
  LFS Coletta, M Ponti, ER Hruschka, A Acharya, J Ghosh
  Neurocomputing 2019

2018

• A Dual Markov Chain Topic Model for Dynamic Environments
  A Acharya, J Ghosh, M Zhou
  KDD 2018

2015

• Knowledge Transfer using Latent Variable Models
  A Acharya
  PhD Thesis, UT Austin 2015
• Nonparametric Poisson Factorization Machine
  A Saha, A Acharya, B Ravindran, J Ghosh
  ICDM 2015
• Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
  A Acharya, J Ghosh, M Zhou
  AISTATS 2015
• Gamma Process Poisson Factorization for Joint Modeling of Network and Documents
  A Acharya, D Teffer, J Henderson, M Tyler, M Zhou, J Ghosh
  ECML-PKDD 2015

2014

• An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning
  A Acharya, ER Hruschka, J Ghosh, S Acharyya
  ACM TKDD 2014
• Active Multitask Learning using Both Latent and Supervised Shared Topics
  A Acharya, RJ Mooney, J Ghosh
  SIAM SDM 2014

2013

• Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning
  A Acharya, ER Hruschka, J Ghosh, B Sarwar, JD Ruvini
  SIAM SDM 2013
• Noisy Matrix Completion using Alternating Minimization
  S Gunasekar, A Acharya, N Gaur, J Ghosh
  ECML-PKDD 2013
• Using Both Latent and Supervised Shared Topics for Multitask Learning
  A Acharya, A Rawal, RJ Mooney, ER Hruschka
  ECML-PKDD 2013

2012

• Transfer Learning with Cluster Ensembles
  A Acharya, ER Hruschka, J Ghosh, S Acharyya
  ICML Unsupervised and Transfer Learning Workshop 2012

2011

• Cluster Ensembles
  J Ghosh, A Acharya
  WIREs Data Mining and Knowledge Discovery 2011
• C3E: A Framework for Combining Ensembles of Classifiers and Clusterers
  A Acharya, ER Hruschka, J Ghosh, S Acharyya
  MCS 2011