News & Events

Selected Publications

(2024). Fair Wasserstein Coresets. Accepted at NeurIPS 2024.

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(2024). FairWASP: Fast and optimal fair Wasserstein pre-processing. AAAI 2024.

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(2024). Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. Transaction on Machine Learning Research.

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(2023). Fair Wasserstein Coresets. NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI (Contributed Talk).

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(2023). Efficient Event Series Data Modeling via First-Order Constrained Optimization. International Conference of AI in Finance (ICAIF) 2023.

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(2023). Deep Gaussian Mixture Ensembles. Uncertainty in Artificial Intelligence (UAI) 2023.

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(2022). When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments. In NeurIPS 2021 Algorithmic Fairness through the Lens of Causality and Robustness Workshop.

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(2021). Validating Conditional Density Models and Bayesian Inference Algorithms. Uncertainty in Artificial Intelligence (UAI) 2021.

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(2020). PayVAE: A Generative Model for Financial Transactions. In AAAI 2021 Workshop on Knowledge Discovery from Unstructured Data in Financial Services Workshop (Oral).

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(2020). Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. International Conference on Machine Learning (ICML) 2020.

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(2020). Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. International Conference on Artificial Intelligence and Statistics (AISTATS) 2020.

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