Exploiting Geometry in the SINR _k Model. - Rom Aschner; Gui Citovsky; Matthew J. Katz (ALGOSENSORS, 2014)

Exact and Approximation Algorithms for Data Mule Scheduling in a Sensor Network. - Gui Citovsky; Jie Gao 001; Joseph S. B. Mitchell; Jiemin Zeng (ALGOSENSORS, 2015)

Conflict-free Covering. - Esther M. Arkin; Aritra Banik; Paz Carmi; Gui Citovsky; Matthew J. Katz; Joseph S. B. Mitchell; Marina Simakov (CCCG, 2015)

Choice Is Hard. - Esther M. Arkin; Aritra Banik; Paz Carmi; Gui Citovsky; Matthew J. Katz; Joseph S. B. Mitchell; Marina Simakov (ISAAC, 2015)

A novel view of suprathreshold stochastic resonance and its applications to financial markets. - Gui Citovsky; Sergio Focardi (Frontiers Appl. Math. Stat., 2015)

TSP With Locational Uncertainty: The Adversarial Model. - Gui Citovsky; Tyler Mayer; Joseph S. B. Mitchell (SoCG, 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 (ISAAC, 2017)

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)

Online Hierarchical Clustering Approximations. - Aditya Krishna Menon; Anand Rajagopalan; Baris Sumengen; Gui Citovsky; Qin Cao; Sanjiv Kumar (CoRR, 2019)

Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. - Danny Vainstein; Vaggos Chatziafratis; Gui Citovsky; Anand Rajagopalan; Mohammad Mahdian; Yossi Azar (AISTATS, 2021)

Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. - Anand Rajagopalan; Fabio Vitale; Danny Vainstein; Gui Citovsky; Cecilia M. Procopiuc; Claudio Gentile (ICML, 2021)

Batch Active Learning at Scale. - Gui Citovsky; Giulia DeSalvo; Claudio Gentile; Lazaros Karydas; Anand Rajagopalan; Afshin Rostamizadeh; Sanjiv Kumar (NeurIPS, 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)

Leveraging Importance Weights in Subset Selection. - Gui Citovsky; Giulia DeSalvo; Sanjiv Kumar; Srikumar Ramalingam; Afshin Rostamizadeh; Yunjuan Wang (ICLR, 2023)

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)

GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. - Matthew Fahrbach; Srikumar Ramalingam; Morteza Zadimoghaddam; Sara Ahmadian; Gui Citovsky; Giulia DeSalvo (CoRR, 2024)

Analyzing Similarity Metrics for Data Selection for Language Model Pretraining. - Dylan Sam; Ayan Chakrabarti; Afshin Rostamizadeh; Srikumar Ramalingam; Gui Citovsky; Sanjiv Kumar (CoRR, 2025)