Giulia DeSalvo
15 papers · 2016–2023 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (12)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(52)
Top co-authors
Research topics
Keywords
active learning
(6)
label complexity
(5)
online learning
(4)
regret bound
(3)
feedback graph
(3)
binary classification
(2)
generalization error
(2)
weak supervision
(1)
version space
(1)
hyperparameter optimization
(1)
subset selection
(1)
adversarial setting
(1)
early stopping
(1)
ucb algorithm
(1)
uncertainty sampling
(1)
random search
(1)
surrogate loss
(1)
margin theory
(1)
batch selection
(1)
importance sampling
(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
Batch Active Learning at Scale
NeurIPS 2021
Learning with Labeling Induced Abstentions
NeurIPS 2021
Online Active Learning with Surrogate Loss Functions
NeurIPS 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
Active Learning with Disagreement Graphs
ICML 2019
Online Learning with Sleeping Experts and Feedback Graphs
ICML 2019
Region-Based Active Learning
AISTATS 2019
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
JMLR 2018
Online Learning with Abstention
ICML 2018
Boosting with Abstention
NeurIPS 2016