Adaptive, Personalized Diversity for Visual Discovery. - Choon Hui Teo; Houssam Nassif; Daniel N. Hill; Sriram Srinivasan 004; Mitchell Goodman; Vijai Mohan; S. V. N. Vishwanathan (RecSys, 2016)

A Fairness-aware Hybrid Recommender System. - Golnoosh Farnadi; Pigi Kouki; Spencer K. Thompson; Sriram Srinivasan 004; Lise Getoor (CoRR, 2018)

Lifted Hinge-Loss Markov Random Fields. - Sriram Srinivasan 004; Behrouz Babaki; Golnoosh Farnadi; Lise Getoor (AAAI, 2019)

Two-temperature logistic regression based on the Tsallis divergence. - Ehsan Amid; Manfred K. Warmuth; Sriram Srinivasan 004 (AISTATS, 2019)

Identifying Facet Mismatches In Search Via Micrographs. - Sriram Srinivasan 004; Nikhil S. Rao; Karthik Subbian; Lise Getoor (CIKM, 2019)

Scaling Multinomial Logistic Regression via Hybrid Parallelism. - Parameswaran Raman; Sriram Srinivasan 004; Shin Matsushima; Xinhua Zhang; Hyokun Yun; S. V. N. Vishwanathan (KDD, 2019)

Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. - Sriram Srinivasan 004; Eriq Augustine; Lise Getoor (AAAI, 2020)

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. - Sriram Srinivasan 004; Golnoosh Farnadi; Lise Getoor (AAAI, 2020)

Joint Estimation of User And Publisher Credibility for Fake News Detection. - Rajdipa Chowdhury; Sriram Srinivasan 004; Lise Getoor (CIKM, 2020)

Estimating Aggregate Properties In Relational Networks With Unobserved Data. - Varun Embar; Sriram Srinivasan 004; Lise Getoor (CoRR, 2020)

Towards Fast And Accurate Structured Prediction. - Sriram Srinivasan 004 (2020)

A comparison of statistical relational learning and graph neural networks for aggregate graph queries. - Varun Embar; Sriram Srinivasan 004; Lise Getoor (Mach. Learn., 2021)

Learning explainable templated graphical models. - Varun Embar; Sriram Srinivasan 004; Lise Getoor (UAI, 2022)

A taxonomy of weight learning methods for statistical relational learning. - Sriram Srinivasan 004; Charles Dickens; Eriq Augustine; Golnoosh Farnadi; Lise Getoor (Mach. Learn., 2022)

Web-Scale Semantic Product Search with Large Language Models. - Aashiq Muhamed; Sriram Srinivasan 004; Choon Hui Teo; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; S. V. N. Vishwanathan (PAKDD (3), 2023)

Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts. - Sriram Srinivasan 004; Stephen Sheng; Rishabh Deshmukh; Chen Luo 003; Yesh Dattatreya; Subhajit Sanyal; S. V. N. Vishwanathan (WWW (Companion Volume), 2024)