Isabel Valera

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

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Achievements

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🗺️ Taxonomy Completionist (53) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🔬 Deep Specialist (10) 🏆 Grand Slam 👑 Triple Crown 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution 🏆 Keyword Champion 🧭 Keyword Pioneer 📈 Trend Setter 🔥 Unstoppable · Bronze ❓ The Questioner 🌈 Renaissance Researcher (6) 💎 Century Club · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (138)

Venues

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

Top co-authors

Zoubin Ghahramani (5) Manuel Gomez Rodriguez (4) Adrián Javaloy (4) Fernando Pérez-Cruz (3) Muhammad Bilal Zafar (3) Adrian Weller (3) Amir-Hossein Karimi (3) Bernhard Schölkopf (3) Julius von Kügelgen (2) Pablo Sanchez Martin (2)

Research topics

Machine Learning (27) Artificial Intelligence (17) Application Areas (11) Core AI (11) Core Methods (11) Deep Learning (8) Optimization & Theory (8) Bayesian & Probabilistic · Artificial Intelligence (7) Learning Types (7) Models (6) Architectures (5) Mathematics & Optimization (4) Bayesian & Probabilistic · Machine Learning (4) Data Science & Analytics (2) Knowledge & Reasoning (2)

Keywords

causal inference (6) counterfactual reasoning (4) bayesian nonparametrics (4) algorithmic fairness (4) bayesian inference (3) latent feature model (3) variational inference (3) indian buffet process (3) variational autoencoder (3) fair classification (3) fairness constraint (3) structural causal model (2) counterfactual explanation (2) social network (2) latent variable model (2) normalizing flow (2) gibbs sampler (2) probabilistic modeling (2) implicit neural representation (2) algorithmic recourse (2)

Papers

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