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2020 – today
- 2024
[i9]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 abs/2401.13160 (2024)- [i8]Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo:
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization. CoRR abs/2405.18754 (2024) - 2023
- [c10]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. ICLR 2023 - [i7]Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang:
Leveraging Importance Weights in Subset Selection. CoRR abs/2301.12052 (2023) - 2021
- [c9]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. AISTATS 2021: 559-567 - [c8]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: 8799-8809 - [c7]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. NeurIPS 2021: 11933-11944 - [i6]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. CoRR abs/2101.10639 (2021) - [i5]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 abs/2105.11653 (2021) - [i4]Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. CoRR abs/2107.14263 (2021)
2010 – 2019
- 2019
- [i3]Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao
, Sanjiv Kumar:
Online Hierarchical Clustering Approximations. CoRR abs/1909.09667 (2019) - 2018
- [j2]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: 75-86 (2018) - 2017
- [c6]Gui Citovsky, Tyler Mayer, Joseph S. B. Mitchell:
TSP With Locational Uncertainty: The Adversarial Model. SoCG 2017: 32:1-32:16 - [c5]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: 6:1-6:12 - [i2]Gui Citovsky, Tyler Mayer, Joseph S. B. Mitchell:
TSP With Locational Uncertainty: The Adversarial Model. CoRR abs/1705.06180 (2017) - [i1]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 abs/1710.00876 (2017) - 2015
- [j1]Gui Citovsky, Sergio Focardi:
A novel view of suprathreshold stochastic resonance and its applications to financial markets. Frontiers Appl. Math. Stat. 1: 10 (2015) - [c4]Gui Citovsky, Jie Gao, Joseph S. B. Mitchell, Jiemin Zeng:
Exact and Approximation Algorithms for Data Mule Scheduling in a Sensor Network. ALGOSENSORS 2015: 57-70 - [c3]Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov:
Conflict-free Covering. CCCG 2015 - [c2]Esther M. Arkin, Aritra Banik, Paz Carmi, Gui Citovsky, Matthew J. Katz, Joseph S. B. Mitchell, Marina Simakov:
Choice Is Hard. ISAAC 2015: 318-328 - 2014
- [c1]Rom Aschner, Gui Citovsky, Matthew J. Katz:
Exploiting Geometry in the SINR _k Model. ALGOSENSORS 2014: 125-135
Coauthor Index
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