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04/09/2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
Accurate time series forecasting is critical for a wide range of problem...
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03/22/2023
Reducing Air Pollution through Machine Learning
This paper presents a data-driven approach to mitigate the effects of ai...
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06/21/2022
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures
Processing and analyzing tabular data in a productive and efficient way ...
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10/29/2021
Holistic Deep Learning
There is much interest in deep learning to solve challenges that arise i...
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11/11/2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
This paper describes a machine learning (ML) framework for tropical cycl...
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06/30/2020
From predictions to prescriptions: A data-driven response to COVID-19
The COVID-19 pandemic has created unprecedented challenges worldwide. St...
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02/20/2020
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
Explicit engineering of reward functions for given environments has been...
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02/02/2020
Combating False Negatives in Adversarial Imitation Learning
In adversarial imitation learning, a discriminator is trained to differe...
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09/24/2019
