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09/08/2023
Matching Table Metadata with Business Glossaries Using Large Language Models
Enterprises often own large collections of structured data in the form o...
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06/29/2023
Probabilistic Constraint for Safety-Critical Reinforcement Learning
In this paper, we consider the problem of learning safe policies for pro...
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06/02/2023
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
Transformers use the dense self-attention mechanism which gives a lot of...
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02/19/2023
AutoDOViz: Human-Centered Automation for Decision Optimization
We present AutoDOViz, an interactive user interface for automated decisi...
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10/02/2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning
This paper considers the problem of learning safe policies in the contex...
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02/11/2022
Learning Temporal Rules from Noisy Timeseries Data
Events across a timeline are a common data representation, seen in diffe...
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08/07/2021
Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs
Transformer neural networks have achieved state-of-the-art results for u...
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02/21/2020
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Event datasets are sequences of events of various types occurring irregu...
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07/27/2018
Nonparametric estimation of utility functions
Inferring a decision maker's utility function typically involves an elic...
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09/26/2013
Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation
We propose solution methods for previously-unsolved constrained MDPs in ...
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10/16/2012
