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Isabel Valera

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

Achievements

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+14 more ↓ ๐Ÿงญ Keyword Pioneer ๐Ÿ—บ๏ธ Taxonomy Completionist (11) ๐ŸŒˆ Renaissance Researcher (5) ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒ Conference Polyglot (7)
๐Ÿ—บ๏ธ Taxonomy Completionist (11) ๐Ÿงญ Keyword Pioneer ๐Ÿƒ Academic Marathon (13) ๐ŸŒŸ Keyword Trendsetter Combo (4) ๐Ÿ† Keyword Champion ๐Ÿ”ฌ Deep Specialist (10) ๐Ÿ‘‘ Triple Crown ๐Ÿ† Grand Slam ๐Ÿ“ˆ Trend Setter ๐Ÿ—ƒ๏ธ Keyword Collector (120) โ“ The Questioner ๐Ÿ’Ž Century Club (28) ๐Ÿ”ฅ Unstoppable (7) ๐Ÿš€ 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) Adriรกn Javaloy (4) Fernando Pรฉrez-Cruz (3) Muhammad Bilal Zafar (3) Adrian Weller (3) Amir-Hossein Karimi (3) Bernhard Schรถlkopf (3) Julius von Kรผgelgen (2) Pablo Sanchez Martin (2)

Keywords

causal inference (6) counterfactual reasoning (4) bayesian nonparametrics (4) algorithmic fairness (4) fairness constraint (3) indian buffet process (3) latent feature model (3) fair classification (3) variational autoencoder (3) bayesian inference (3) variational inference (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