Silvia Chiappa
18 papers · 2006–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Pioneer
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Grand Slam
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Deep Specialist
(10)
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Keyword Trendsetter Combo
(6)
π₯
Mega-Team Β· Squad
π
Keyword Champion
π
Triple Crown
π§
Keyword Pioneer
π
Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(96)
Top co-authors
Research topics
Artificial Intelligence
(17)
Machine Learning
(17)
Core AI
(13)
Learning Types
(10)
Optimization & Theory
(7)
Application Areas
(6)
Deep Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core Methods
(3)
Optimization
(3)
Data Science & Analytics
(2)
Knowledge & Reasoning
(2)
Robotics
(2)
Keywords
causal inference
(9)
time series
(3)
bayesian optimization
(3)
algorithmic fairness
(3)
distribution shift
(2)
gaussian process
(2)
observational data
(2)
expected improvement
(2)
state space model
(2)
variational inference
(2)
time series analysis
(2)
multi-armed bandit
(2)
large language model
(2)
motion analysis
(1)
domain adaptation
(1)
imitation learning
(1)
transfer learning
(1)
bayesian learning
(1)
action recognition
(1)
causal structure learning
(1)
Papers
BIG-Bench Extra Hard
ACL 2025
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
ICML 2025
Mind the Graph When Balancing Data for Fairness or Robustness
NeurIPS 2024
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
CLeaR 2024
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding
NeurIPS 2024
Additive Causal Bandits with Unknown Graph
ICML 2023
Constrained Causal Bayesian Optimization
ICML 2023
Functional causal Bayesian optimization
UAI 2023
Learning to Induce Causal Structure
ICLR 2023
Transportability for Bandits with Data from Different Environments
NeurIPS 2023
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NeurIPS 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
AAAI 2022
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
NeurIPS 2021
Path-Specific Counterfactual Fairness
AAAI 2019
Wasserstein Fair Classification
UAI 2019
Movement extraction by detecting dynamics switches and repetitions
NeurIPS 2010
Using Bayesian Dynamical Systems for Motion Template Libraries
NeurIPS 2008
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
NeurIPS 2006