Sriram Srinivasan

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Kullback Leibler

Markov Random Field

Multinomial Logistic Regression

Top Venues

Publications

Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) (2023)
Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. 111 (8) (2022)
Varun Embar, Sriram Srinivasan, Lise Getoor
Learning explainable templated graphical models. UAI (2022)
Varun Embar, Sriram Srinivasan, Lise Getoor
A comparison of statistical relational learning and graph neural networks for aggregate graph queries. Mach. Learn. 110 (7) (2021)
Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI (2020)
Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor
Joint Estimation of User And Publisher Credibility for Fake News Detection. CIKM (2020)
Varun Embar, Sriram Srinivasan, Lise Getoor
Estimating Aggregate Properties In Relational Networks With Unobserved Data. CoRR (2020)
Sriram Srinivasan, Eriq Augustine, Lise Getoor
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. AAAI (2020)
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD (2019)
Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
Identifying Facet Mismatches In Search Via Micrographs. CIKM (2019)
Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan
Two-temperature logistic regression based on the Tsallis divergence. AISTATS (2019)
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
Lifted Hinge-Loss Markov Random Fields. AAAI (2019)
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
A Fairness-aware Hybrid Recommender System. CoRR (2018)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. CoRR (2018)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. RecSys (2016)