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ORCIDUdi Weinsberg
2020 – today
- 2024
[c33]Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg:
Efficient Online Crowdsourcing with Complex Annotations. AAAI 2024: 10119-10127- [c32]Jerry Chee
, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis:
Harm Mitigation in Recommender Systems under User Preference Dynamics. KDD 2024: 255-265 - [c31]Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg:
Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. KDD 2024: 4939-4950 - [i11]Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg:
Efficient Online Crowdsourcing with Complex Annotations. CoRR abs/2401.15116 (2024) - [i10]Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis:
Harm Mitigation in Recommender Systems under User Preference Dynamics. CoRR abs/2406.09882 (2024) - 2023
- [c30]Evan Yao, Jagdish Ramakrishnan, Xu Chen, Viet-An Nguyen, Udi Weinsberg:
From Labels to Decisions: A Mapping-Aware Annotator Model. KDD 2023: 5404-5415 - [c29]Xi Leslie Chen, Abhratanu Dutta, Sindhu Kiranmai Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg:
Gateway Entities in Problematic Trajectories. WWW 2023: 2840-2851 - 2022
- [c28]Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley:
Crowdsourcing with Contextual Uncertainty. KDD 2022: 3645-3655 - 2021
- [c27]Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg:
Preference Amplification in Recommender Systems. KDD 2021: 805-815 - 2020
- [c26]Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris:
CLARA: Confidence of Labels and Raters. KDD 2020: 2542-2552 - [c25]Adam Breuer, Roee Eilat, Udi Weinsberg:
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. WWW 2020: 1287-1297 - [i9]Adam Breuer, Roee Eilat, Udi Weinsberg:
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. CoRR abs/2004.04834 (2020)
2010 – 2019
- 2018
- [c24]Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg:
Learning Diffusion using Hyperparameters. ICML 2018: 2425-2433 - 2017
- [c23]Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot:
PNP: Fast Path Ensemble Method for Movie Design. KDD 2017: 1527-1536 - 2016
- [c22]Stefan Dernbach, Nina Taft, Jim Kurose, Udi Weinsberg, Christophe Diot, Azin Ashkan:
Cache content-selection policies for streaming video services. INFOCOM 2016: 1-9 - [i8]Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot:
PNP: Fast Path Ensemble Method for Movie Design. CoRR abs/1611.02388 (2016) - 2015
- [c21]Kartik Nayak, Xiao Shaun Wang, Stratis Ioannidis, Udi Weinsberg, Nina Taft, Elaine Shi:
GraphSC: Parallel Secure Computation Made Easy. IEEE Symposium on Security and Privacy 2015: 377-394 - [c20]Xinyu Xing, Wei Meng, Byoungyoung Lee, Udi Weinsberg, Anmol Sheth, Roberto Perdisci, Wenke Lee:
Understanding Malvertising Through Ad-Injecting Browser Extensions. WWW 2015: 1286-1295 - 2014
- [j5]Irad Ben-Gal, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Peer-to-peer information retrieval using shared-content clustering. Knowl. Inf. Syst. 39(2): 383-408 (2014) - [c19]Wei Meng, Xinyu Xing, Anmol Sheth, Udi Weinsberg, Wenke Lee:
Your Online Interests: Pwned! A Pollution Attack Against Targeted Advertising. CCS 2014: 129-140 - [c18]Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft:
Recommending with an agenda: active learning of private attributes using matrix factorization. RecSys 2014: 65-72 - [c17]Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft:
Privacy tradeoffs in predictive analytics. SIGMETRICS 2014: 57-69 - [c16]Smriti Bhagat, Anthony Kim, S. Muthukrishnan, Udi Weinsberg:
The Shapley Value in Knapsack Budgeted Games. WINE 2014: 106-119 - [p1]Markus Schedl, Mohamed Sordo, Noam Koenigstein, Udi Weinsberg:
Mining User Generated Data for Music Information Retrieval. Mining User Generated Content 2014: 67-96 - [i7]Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft:
Privacy Tradeoffs in Predictive Analytics. CoRR abs/1403.8084 (2014) - [i6]Smriti Bhagat, Anthony Kim, S. Muthukrishnan, Udi Weinsberg:
The Shapley Value in Knapsack Budgeted Games. CoRR abs/1409.5200 (2014) - 2013
- [c15]Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, Dan Boneh:
Privacy-preserving matrix factorization. CCS 2013: 801-812 - [c14]Bin Liu, Anmol Sheth, Udi Weinsberg, Jaideep Chandrashekar, Ramesh Govindan:
AdReveal: improving transparency into online targeted advertising. HotNets 2013: 12:1-12:7 - [c13]Oded Argon, Yuval Shavitt, Udi Weinsberg:
Inferring the periodicity in large-scale Internet measurements. INFOCOM 2013: 1672-1680 - [c12]Valeria Nikolaenko, Udi Weinsberg, Stratis Ioannidis, Marc Joye, Dan Boneh, Nina Taft:
Privacy-Preserving Ridge Regression on Hundreds of Millions of Records. IEEE Symposium on Security and Privacy 2013: 334-348 - [i5]Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft:
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization. CoRR abs/1311.6802 (2013) - 2012
- [j4]Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Measuring the validity of peer-to-peer data for information retrieval applications. Comput. Networks 56(3): 1092-1102 (2012) - [c11]Udi Weinsberg, Qingxi Li, Nina Taft, Athula Balachandran, Vyas Sekar, Gianluca Iannaccone, Srinivasan Seshan:
CARE: content aware redundancy elimination for challenged networks. HotNets 2012: 127-132 - [c10]Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, Nina Taft:
BlurMe: inferring and obfuscating user gender based on ratings. RecSys 2012: 195-202 - [i4]Yuval Shavitt, Udi Weinsberg:
Topological Trends of Internet Content Providers. CoRR abs/1201.0834 (2012) - [i3]Udi Weinsberg, Athula Balachandran, Nina Taft, Gianluca Iannaccone, Vyas Sekar, Srinivasan Seshan:
CARE: Content Aware Redundancy Elimination for Disaster Communications on Damaged Networks. CoRR abs/1206.1815 (2012) - 2011
- [j3]Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Mining Music from Large-Scale, Peer-to-Peer Networks. IEEE Multim. 18(1): 14-23 (2011) - [j2]Yuval Shavitt, Udi Weinsberg:
Quantifying the Importance of Vantage Point Distribution in Internet Topology Mapping (Extended Version). IEEE J. Sel. Areas Commun. 29(9): 1837-1847 (2011) - [c9]Udi Weinsberg, Augustin Soule, Laurent Massoulié:
Inferring traffic shaping and policy parameters using end host measurements. INFOCOM 2011: 151-155 - 2010
- [c8]Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Building recommendation systems using peer-to-peer shared content. CIKM 2010: 1457-1460 - [c7]Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela Weinsberg, Udi Weinsberg:
A framework for extracting musical similarities from peer-to-peer networks. ICME 2010: 1433-1438 - [c6]Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Estimating peer similarity using distance of shared files. IPTPS 2010: 4 - [c5]Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
On the Applicability of Peer-to-peer Data in Music Information Retrieval Research. ISMIR 2010: 273-278 - [c4]Yaron Schwartz, Yuval Shavitt, Udi Weinsberg:
A Measurement Study of the Origins of End-to-End Delay Variations. PAM 2010: 21-30 - [i2]Oded Argon, Anat Bremler-Barr, Osnat Mokryn, Dvir Schirman, Yuval Shavitt, Udi Weinsberg:
On the Dynamics of IP Address Allocation and Availability of End-Hosts. CoRR abs/1011.2324 (2010)
2000 – 2009
- 2009
- [c3]Yuval Shavitt, Udi Weinsberg:
Quantifying the Importance of Vantage Points Distribution in Internet Topology Measurements. INFOCOM 2009: 792-800 - [c2]Yuval Shavitt, Udi Weinsberg:
Song Clustering Using Peer-to-Peer Co-occurrences. ISM 2009: 471-476 - 2008
- [j1]Mira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool:
Finding a dense-core in Jellyfish graphs. Comput. Networks 52(15): 2831-2841 (2008) - 2007
- [c1]Mira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool:
Finding a Dense-Core in Jellyfish Graphs. WAW 2007: 29-40 - [i1]Yuval Shavitt, Eran Shir, Udi Weinsberg:
Near-Deterministic Inference of AS Relationships. CoRR abs/0711.4562 (2007)
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