Tomo Lazovich

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Authorship Attribution

Candidate Generation

Recommender Systems

Top Venues

Publications

Jack Bandy, Tomo Lazovich
Exposure to Marginally Abusive Content on Twitter. ICWSM (2023)
Tomo Lazovich
Filter bubbles and affective polarization in user-personalized large language model outputs. CoRR (2023)
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. AdKDD@KDD (2023)
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. CoRR (2023)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4 (8) (2023)
Tomo Lazovich
Filter bubbles and affective polarization in user-personalized large language model outputs. ICBINB (2023)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR (2022)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3 (8) (2022)
Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. CoRR (2022)
Nicholas C. Harris, Ryan Braid, Darius Bunandar, Jim Carr, Brad Dobbie, Carlos Dorta-Quinones, Jon Elmhurst, Martin Forsythe, Michael Gould, Shashank Gupta, Sukeshwar Kannan, Tyler Kenney, Gary Kong, Tomo Lazovich, Scott Mckenzie, Carl Ramey, Chithira Ravi, Michael Scott, John Sweeney, Ozgur Yildirim, Katrina Zhang
Accelerating Artificial Intelligence with Silicon Photonics. OFC (2020)
Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. CoRR (2018)
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Sang Peter Chin, Tomo Lazovich
Automated software vulnerability detection with machine learning. CoRR (2018)
Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. ICMLA (2018)
Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Sang Peter Chin
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. NeurIPS (2018)
Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Sang Peter Chin
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR (2018)