Birs- 24w5284: Statistical Aspects of Trustworthy Machine Learning
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Title: Interpretability and Scientific Foundation Models: A Review
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Title: Simpler Machine Learning Models for a Complicated World
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Title: Deep non-crossing quantile (NQ) learning
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Title: A Class of Dependent Random Distributions Based on Atom Skipping
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Title: Interpretable machine learning for time-to-event prediction in medicine and healthcare
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Title: Estimating the fraction of anomaly points
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Title: Generative AI on Smooth Manifolds: A Tutorial
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Title: What is uncertainty in today's practice of data science?
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Title: Teaching Machine Learning using Data for Good
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Title: Online Local Differential Private Quantile Inference via Self-normalization
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Title: A decorrelation method for general regression adjustment in randomized experiments
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Title: CATE: An accelerated and scalable solution for large-scale genomic data processing through GPU and CPU-based parallelization
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Title: eXplainable representation learning via Autoencoders revealing Critical genes
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Title: Algorithmic Fairness; Why it’s hard and why it’s interesting (Tutorial)
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Title: De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
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Title: A Generic Approach to Stabilized Model Distillation
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Title: Conditional independence measures for fairer, more reliable models
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Title: Protecting Individua Privacy against All Adversaries – Is It possible?
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Title: Forgettable Federated Linear Learning with Certified Data Removal
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Title: PANORAMIA: Efficient Privacy Auditing of Machine Learning Models without Retraining
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