Giulia DeSalvo

30 papers A* 11A 3B 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Budgeted Multiple-Expert Deferral.
CoRR
Giulia DeSalvo, Clara Mohri, Mehryar Mohri, Yutao Zhong
2024 J jnl
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization.
CoRR
Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
2024 J jnl
No more hard prompts: SoftSRV prompting for synthetic data generation.
CoRR
Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Afshin Rostamizadeh, Sanjiv Kumar
2024 J jnl
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection.
CoRR
Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar
2024 J jnl
Theory and algorithms for learning with rejection in binary classification.
Ann. Math. Artif. Intell.
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2023 A* conf
Agile Modeling: From Concept to Classifier in Minutes.
ICCV
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
2023 A* conf
Leveraging Importance Weights in Subset Selection.
ICLR
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
2023 J jnl
Leveraging Importance Weights in Subset Selection.
CoRR
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang
2023 J jnl
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.
CoRR
Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
2022 A conf
Firebolt: Weak Supervision Under Weaker Assumptions.
AISTATS
Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang
2021 A* conf
Batch Active Learning at Scale.
NeurIPS
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
2021 J jnl
Batch Active Learning at Scale.
CoRR
Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
2021 A* conf
Learning with Labeling Induced Abstentions.
NeurIPS
Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh
2021 A* conf
Online Active Learning with Surrogate Loss Functions.
NeurIPS
Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune
2020 A* conf
Adaptive Region-Based Active Learning.
ICML
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020 J jnl
Adaptive Region-Based Active Learning.
CoRR
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020 A* conf
Online Learning with Dependent Stochastic Feedback Graphs.
ICML
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020 A conf
Understanding the Effects of Batching in Online Active Learning.
AISTATS
Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh
2019 A* conf
Active Learning with Disagreement Graphs.
ICML
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile
2019 A* conf
Online Learning with Sleeping Experts and Feedback Graphs.
ICML
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2019 A conf
Region-Based Active Learning.
AISTATS
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2018 A* conf
Online Learning with Abstention.
ICML
Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2017 J jnl
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.
J. Mach. Learn. Res.
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
2017 — conf
Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization.
ICLR (Poster)
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
2017 J jnl
On-line Learning with Abstention.
CoRR
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang
2016 — conf
Boosting with Abstention.
NIPS
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016 J jnl
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits.
CoRR
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar
2016 B conf
Learning with Rejection.
ALT
Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016 A* conf
Random Composite Forests.
AAAI
Giulia DeSalvo, Mehryar Mohri
2015 B conf
Learning with Deep Cascades.
ALT
Giulia DeSalvo, Mehryar Mohri, Umar Syed