Sriram Srinivasan

According to our database, Sriram Srinivasan authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts.

Sriram Srinivasan, Stephen Sheng, Rishabh Deshmukh, Chen Luo, Yesh Dattatreya, Subhajit Sanyal, S. V. N. Vishwanathan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Web-Scale Semantic Product Search with Large Language Models.

Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

A taxonomy of weight learning methods for statistical relational learning.

Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor

Mach. Learn., 2022

Learning explainable templated graphical models.

Varun Embar, Sriram Srinivasan, Lise Getoor

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

A comparison of statistical relational learning and graph neural networks for aggregate graph queries.

Varun Embar, Sriram Srinivasan, Lise Getoor

Mach. Learn., 2021

2020

Towards Fast And Accurate Structured Prediction.

Sriram Srinivasan

PhD thesis, 2020

Estimating Aggregate Properties In Relational Networks With Unobserved Data.

Varun Embar, Sriram Srinivasan, Lise Getoor

CoRR, 2020

Joint Estimation of User And Publisher Credibility for Fake News Detection.

Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic.

Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference.

Sriram Srinivasan, Eriq Augustine, Lise Getoor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scaling Multinomial Logistic Regression via Hybrid Parallelism.

Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Identifying Facet Mismatches In Search Via Micrographs.

Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Two-temperature logistic regression based on the Tsallis divergence.

Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Lifted Hinge-Loss Markov Random Fields.

Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Fairness-aware Hybrid Recommender System.

Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor

CoRR, 2018

2016

Adaptive, Personalized Diversity for Visual Discovery.

Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan

Proceedings of the 10th ACM Conference on Recommender Systems, 2016