Flavio Calmon
18 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(26)
π§
Keyword Pioneer
π¬
Deep Specialist
(11)
π
Keyword Champion
(3)
π
Trend Setter
π
Century Club
(18)
ποΈ
Keyword Collector
(73)
π₯
Unstoppable
(7)
Conferences
NIPS (8)
ICML (5)
AISTATS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
group fairness
(5)
predictive multiplicity
(3)
fairness intervention
(3)
algorithmic fairness
(2)
differential privacy
(2)
convex optimization
(2)
model selection
(2)
probabilistic classifier
(2)
fairness constraint
(2)
model fairness
(2)
statistical learning
(2)
information density
(1)
hypothesis testing
(1)
time series forecasting
(1)
fair classification
(1)
data transformation
(1)
machine unlearning
(1)
minimax bounds
(1)
privacy preservation
(1)
integer programming
(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
NIPS 2023
The Saddle-Point Method in Differential Privacy
ICML 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
NIPS 2023
Individual Arbitrariness and Group Fairness
NIPS 2023
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NIPS 2022
On the Epistemic Limits of Personalized Prediction
NIPS 2022
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
NIPS 2022
CPR: Classifier-Projection Regularization for Continual Learning
ICLR 2021
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
NIPS 2021
Optimized Score Transformation for Fair Classification
AISTATS 2020
Obfuscation via Information Density Estimation
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
NIPS 2017
Correcting Forecasts with Multifactor Neural Attention
ICML 2016