DeSalvo, Giulia

21 publications

NeurIPS 2025 GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo

ICLRW 2025 SoftSRV: Learn to Generate Targeted Synthetic Data. Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Afshin Rostamizadeh, Sanjiv Kumar

ICCV 2023 Agile Modeling: From Concept to Classifier in Minutes Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Emming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman‎

NeurIPSW 2023 Agile Modeling: From Concept to Classifier in Minutes Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, Mohammadhossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman

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

AISTATS 2022 Firebolt: Weak Supervision Under Weaker Assumptions Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia Desalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang

NeurIPS 2021 Batch Active Learning at Scale Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

NeurIPS 2021 Learning with Labeling Induced Abstentions Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh

NeurIPS 2021 Online Active Learning with Surrogate Loss Functions Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune

ICML 2020 Adaptive Region-Based Active Learning Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

ICML 2020 Online Learning with Dependent Stochastic Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

AISTATS 2020 Understanding the Effects of Batching in Online Active Learning Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

ICML 2019 Active Learning with Disagreement Graphs Corinna Cortes, Giulia Desalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile

ICML 2019 Online Learning with Sleeping Experts and Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

AISTATS 2019 Region-Based Active Learning Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

ICML 2018 Online Learning with Abstention Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

ICLR 2017 Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

NeurIPS 2016 Boosting with Abstention Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

ALT 2016 Learning with Rejection Corinna Cortes, Giulia DeSalvo, Mehryar Mohri

AAAI 2016 Random Composite Forests Giulia DeSalvo, Mehryar Mohri

ALT 2015 Learning with Deep Cascades Giulia DeSalvo, Mehryar Mohri, Umar Syed