Giulia DeSalvo
15 papers · 2016–2023 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Cross-Pollinator (6) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(7)
π£
Hot Topic Early Bird
π
Century Club
(15)
π₯
Unstoppable
(6)
Conferences
ICML (5)
NIPS (4)
AISTATS (3)
ICCV (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
label complexity
(5)
active learning
(5)
online learning
(4)
regret bound
(3)
feedback graph
(3)
binary classification
(2)
generalization error
(2)
weak supervision
(1)
adversarial setting
(1)
hyperparameter optimization
(1)
version space
(1)
early stopping
(1)
ucb algorithm
(1)
margin theory
(1)
multi-armed bandit
(1)
uncertainty sampling
(1)
batch active learning
(1)
adaptive partitioning
(1)
random search
(1)
surrogate loss
(1)
Papers
Agile Modeling: From Concept to Classifier in Minutes
ICCV 2023
Leveraging Importance Weights in Subset Selection
ICLR 2023
Firebolt: Weak Supervision Under Weaker Assumptions
AISTATS 2022
Online Active Learning with Surrogate Loss Functions
NIPS 2021
Batch Active Learning at Scale
NIPS 2021
Learning with Labeling Induced Abstentions
NIPS 2021
Adaptive Region-Based Active Learning
ICML 2020
Online Learning with Dependent Stochastic Feedback Graphs
ICML 2020
Understanding the Effects of Batching in Online Active Learning
AISTATS 2020
Region-Based Active Learning
AISTATS 2019
Online Learning with Sleeping Experts and Feedback Graphs
ICML 2019
Active Learning with Disagreement Graphs
ICML 2019
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
JMLR 2018
Online Learning with Abstention
ICML 2018
Boosting with Abstention
NIPS 2016