Flavio Calmon
18 papers · 2016–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
π§
Keyword Pioneer
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Keyword Champion
(3)
π
Trend Setter
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(86)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Application Areas
(13)
Optimization & Theory
(11)
Artificial Intelligence
(7)
Core AI
(7)
Core Methods
(7)
Mathematics & Optimization
(4)
Learning Types
(4)
Optimization
(3)
Data Science & Analytics
(1)
Deep Learning
(1)
Security & Privacy
(1)
Architectures
(1)
Differential Privacy
(1)
Mathematics
(1)
Keywords
group fairness
(5)
differential privacy
(3)
predictive multiplicity
(3)
fairness intervention
(3)
algorithmic fairness
(2)
model selection
(2)
convex optimization
(2)
probabilistic classifier
(2)
statistical learning
(2)
fairness constraint
(2)
model fairness
(2)
clinical prediction
(1)
machine unlearning
(1)
fair classification
(1)
privacy preservation
(1)
epistemic uncertainty
(1)
time series forecasting
(1)
uncertainty quantification
(1)
catastrophic forgetting
(1)
gradient descent
(1)
Papers
Optimizing Noise Distributions for Differential Privacy
ICML 2025
Regretful Decisions under Label Noise
ICLR 2025
Fair Machine Unlearning: Data Removal while Mitigating Disparities
AISTATS 2024
Adapting Fairness Interventions to Missing Values
NeurIPS 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
NeurIPS 2023
Individual Arbitrariness and Group Fairness
NeurIPS 2023
The Saddle-Point Method in Differential Privacy
ICML 2023
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
NeurIPS 2022
On the Epistemic Limits of Personalized Prediction
NeurIPS 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NeurIPS 2022
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
NeurIPS 2021
CPR: Classifier-Projection Regularization for Continual Learning
ICLR 2021
Obfuscation via Information Density Estimation
AISTATS 2020
Optimized Score Transformation for Fair Classification
AISTATS 2020
Predictive Multiplicity in Classification
ICML 2020
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
ICML 2019
Optimized Pre-Processing for Discrimination Prevention
NeurIPS 2017
Correcting Forecasts with Multifactor Neural Attention
ICML 2016