Pedro Bizarro
5 papers · 2022–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
AAAI (1)
CLEAR (1)
ICLR (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
fraud detection
(2)
model interpretability
(2)
hyperparameter optimization
(1)
model evaluation
(1)
class imbalance
(1)
experimental design
(1)
benchmark dataset
(1)
bias mitigation
(1)
local explanation
(1)
structural causal model
(1)
tabular datum
(1)
fair machine learning
(1)
post-hoc explanation
(1)
human evaluation
(1)
fairness evaluation
(1)
explainable machine learning
(1)
data bia
(1)
pipeline framework
(1)
application-grounded evaluation
(1)
real-world utility
(1)
Papers
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
CLEAR 2024
Aequitas Flow: Streamlining Fair ML Experimentation
JMLR 2024
FairGBM: Gradient Boosting with Fairness Constraints
ICLR 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
NIPS 2022