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Sriram Srinivasan 0004
Person information
- affiliation: University of California, Santa Cruz, CA, USA
Other persons with the same name
- Sriram Srinivasan — disambiguation page
- Sriram Srinivasan 0001 — Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, USA (and 1 more)
- Sriram Srinivasan 0002 — University of Cambridge, UK
- Sriram Srinivasan 0003 — Microsoft Corporation, Redmond, WA, USA (and 2 more)
- Sriram Srinivasan 0005 — Google, Mountain View, CA, USA (and 2 more)
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Books and Theses
- 2020
- [b1]Sriram Srinivasan:
Towards Fast And Accurate Structured Prediction. University of California, Santa Cruz, USA, 2020
Journal Articles
- 2022
- [j2]Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor:
A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. 111(8): 2799-2838 (2022) - 2021
- [j1]Varun Embar, Sriram Srinivasan, Lise Getoor:
A comparison of statistical relational learning and graph neural networks for aggregate graph queries. Mach. Learn. 110(7): 1847-1866 (2021)
Conference and Workshop Papers
- 2023
- [c10]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: 73-85 - 2022
- [c9]Varun Embar, Sriram Srinivasan, Lise Getoor:
Learning explainable templated graphical models. UAI 2022: 621-630 - 2020
- [c8]Sriram Srinivasan, Eriq Augustine, Lise Getoor:
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. AAAI 2020: 10259-10266 - [c7]Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor:
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI 2020: 10267-10275 - [c6]Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor:
Joint Estimation of User And Publisher Credibility for Fake News Detection. CIKM 2020: 1993-1996 - 2019
- [c5]Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor:
Lifted Hinge-Loss Markov Random Fields. AAAI 2019: 7975-7983 - [c4]Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan:
Two-temperature logistic regression based on the Tsallis divergence. AISTATS 2019: 2388-2396 - [c3]Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor:
Identifying Facet Mismatches In Search Via Micrographs. CIKM 2019: 1663-1672 - [c2]Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan:
Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD 2019: 1460-1470 - 2016
- [c1]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: 35-38
Informal and Other Publications
- 2020
- [i3]Varun Embar, Sriram Srinivasan, Lise Getoor:
Estimating Aggregate Properties In Relational Networks With Unobserved Data. CoRR abs/2001.05617 (2020) - 2018
- [i2]Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor:
A Fairness-aware Hybrid Recommender System. CoRR abs/1809.09030 (2018) - [i1]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 abs/1810.01477 (2018)
Coauthor Index
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