Gui Citovsky

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Stochastic Resonance

Data Summarization

Active Learning

Top Venues

Publications

Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR (2024)
Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR (2024)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. ICLR (2023)
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
Leveraging Importance Weights in Subset Selection. CoRR (2023)
Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets. CoRR (2021)
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
Batch Active Learning at Scale. CoRR (2021)
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
Batch Active Learning at Scale. NeurIPS (2021)
Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. ICML (2021)
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. CoRR (2021)
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. AISTATS (2021)
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar
Online Hierarchical Clustering Approximations. CoRR (2019)
Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov
Selecting and covering colored points. Discret. Appl. Math. 250 (2018)
Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Su Jia, Matthew J. Katz, Tyler Mayer, Joseph S. B. Mitchell
Network Optimization on Partitioned Pairs of Points. CoRR (2017)
Gui Citovsky, Tyler Mayer, Joseph S. B. Mitchell
TSP With Locational Uncertainty: The Adversarial Model. CoRR (2017)
Gui Citovsky, Tyler Mayer, Joseph S. B. Mitchell
TSP With Locational Uncertainty: The Adversarial Model. SoCG (2017)
Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Su Jia, Matthew J. Katz, Tyler Mayer, Joseph S. B. Mitchell
Network Optimization on Partitioned Pairs of Points. ISAAC (2017)
Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov
Conflict-free Covering. CCCG (2015)
Gui Citovsky, Jie Gao, Joseph S. B. Mitchell, Jiemin Zeng
Exact and Approximation Algorithms for Data Mule Scheduling in a Sensor Network. ALGOSENSORS (2015)
Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov
Choice Is Hard. ISAAC (2015)
Gui Citovsky, Sergio Focardi
A novel view of suprathreshold stochastic resonance and its applications to financial markets. Frontiers Appl. Math. Stat. 1 (2015)
Rom Aschner, Gui Citovsky, Matthew J. Katz
Exploiting Geometry in the SINR _k Model. ALGOSENSORS (2014)