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Isabel Valera

29 papers · 2012–2026 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸƒ Academic Marathon (13) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (120) ❓ The Questioner πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer

Conferences

NIPS (10) AAAI (6) ICML (4) AISTATS (3) JMLR (3) ICLR (2) EMNLP (1)

Top co-authors

Zoubin Ghahramani (5) Manuel Gomez Rodriguez (4) AdriΓ‘n Javaloy (4) Fernando PΓ©rez-Cruz (3) Muhammad Bilal Zafar (3) Adrian Weller (3) Amir-Hossein Karimi (3) Bernhard SchΓΆlkopf (3) Julius von KΓΌgelgen (2) Pablo Sanchez Martin (2)

Keywords

causal inference (6) counterfactual reasoning (4) bayesian nonparametric (4) algorithmic fairness (4) fairness constraint (3) latent feature model (3) variational inference (3) indian buffet process (3) variational autoencoder (3) bayesian inference (3) fair classification (3) probabilistic modeling (2) algorithmic recourse (2) structural causal model (2) counterfactual explanation (2) social network (2) normalizing flow (2) gibbs sampler (2) density estimation (1) decision making (1)

Papers

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026
A Practical Approach to Causal Inference over Time AAAI 2025
Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches EMNLP 2025
Hyper-Transforming Latent Diffusion Models ICML 2025
Causal normalizing flows: from theory to practice NIPS 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
Learnable Graph Convolutional Attention Networks ICLR 2023
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022
On the Fairness of Causal Algorithmic Recourse AAAI 2022
RotoGrad: Gradient Homogenization in Multitask Learning ICLR 2022
Model-Agnostic Counterfactual Explanations for Consequential Decisions AISTATS 2020
Fair Decisions Despite Imperfect Predictions AISTATS 2020
General Latent Feature Models for Heterogeneous Datasets JMLR 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
One-Network Adversarial Fairness AAAI 2019
Fairness Constraints: A Flexible Approach for Fair Classification JMLR 2019
Automatic Bayesian Density Analysis AAAI 2019
Enhancing the Accuracy and Fairness of Human Decision Making NIPS 2018
Boosting Black Box Variational Inference NIPS 2018
Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017
From Parity to Preference-based Notions of Fairness in Classification NIPS 2017
Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017
Learning and Forecasting Opinion Dynamics in Social Networks NIPS 2016
Infinite Factorial Dynamical Model NIPS 2015
Shaping Social Activity by Incentivizing Users NIPS 2014
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Bayesian Nonparametric Modeling of Suicide Attempts NIPS 2012