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Dimitris Bertsimas

Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability

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Oct 28, 2024
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Binary Classification: Is Boosting stronger than Bagging?

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Oct 24, 2024
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Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM

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Jul 18, 2024
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Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning

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May 30, 2024
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Catastrophe Insurance: An Adaptive Robust Optimization Approach

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May 11, 2024
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M3H: Multimodal Multitask Machine Learning for Healthcare

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Apr 29, 2024
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Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences

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Apr 08, 2024
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Adaptive Optimization for Prediction with Missing Data

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Feb 02, 2024
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Universal Neurons in GPT2 Language Models

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Jan 22, 2024
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Robust Regression over Averaged Uncertainty

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Nov 12, 2023
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