Gui Citovsky

According to our database, Gui Citovsky authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

GIST: Greedy Independent Set Thresholding for Diverse Data Summarization.

Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo

CoRR, 2024

SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection.

Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar

CoRR, 2024

2023

Leveraging Importance Weights in Subset Selection.

Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets.

Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar

CoRR, 2021

Batch Active Learning at Scale.

Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees.

Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile

Proceedings of the 38th International Conference on Machine Learning, 2021

Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering.

Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Online Hierarchical Clustering Approximations.

Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar

CoRR, 2019

2018

Selecting and covering colored points.

Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov

Discret. Appl. Math., 2018

2017

Network Optimization on Partitioned Pairs of Points.

Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Su Jia, Matthew J. Katz, Tyler Mayer, Joseph S. B. Mitchell

Proceedings of the 28th International Symposium on Algorithms and Computation, 2017

TSP With Locational Uncertainty: The Adversarial Model.

Gui Citovsky, Tyler Mayer, Joseph S. B. Mitchell

Proceedings of the 33rd International Symposium on Computational Geometry, 2017

2015

A novel view of suprathreshold stochastic resonance and its applications to financial markets.

Gui Citovsky, Sergio Focardi

Frontiers Appl. Math. Stat., 2015

Choice Is Hard.

Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov

Proceedings of the Algorithms and Computation - 26th International Symposium, 2015

Conflict-free Covering.

Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov

Proceedings of the 27th Canadian Conference on Computational Geometry, 2015

Exact and Approximation Algorithms for Data Mule Scheduling in a Sensor Network.

Gui Citovsky, Jie Gao, Joseph S. B. Mitchell, Jiemin Zeng

Proceedings of the Algorithms for Sensor Systems, 2015

2014

Exploiting Geometry in the SINR _k Model.

Rom Aschner, Gui Citovsky, Matthew J. Katz

Proceedings of the Algorithms for Sensor Systems, 2014