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07/30/2023
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries
Many decision-making scenarios, e.g., public policy, healthcare, busines...
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11/05/2022
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities
The increasing reliance on online communities for healthcare information...
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07/29/2021
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes
Network telescopes or "Darknets" provide a unique window into Internet-w...
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11/23/2020
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Time series data is prevalent in a wide variety of real-world applicatio...
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08/01/2020
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution
With the increasing adoption of predictive models trained using machine ...
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05/24/2020
Longitudinal Deep Kernel Gaussian Process Regression
We consider the problem of learning predictive models from longitudinal ...
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12/05/2019
Towards Robust Relational Causal Discovery
We consider the problem of learning causal relationships from relational...
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11/24/2019
Algorithmic Bias in Recidivism Prediction: A Causal Perspective
ProPublica's analysis of recidivism predictions produced by Correctional...
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11/11/2019
LMLFM: Longitudinal Multi-Level Factorization Machines
Selecting important variables and learning predictive models from high-d...
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11/11/2019
LMLFM: Longitudinal Multi-Level Factorization Machine
We consider the problem of learning predictive models from longitudinal ...
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09/25/2019
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario
The Dynamical Gaussian Process Latent Variable Models provide an elegant...
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09/14/2019
Node Injection Attacks on Graphs via Reinforcement Learning
Real-world graph applications, such as advertisements and product recomm...
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03/27/2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
As virtually all aspects of our lives are increasingly impacted by algor...
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01/25/2019
Improving Image Captioning by Leveraging Knowledge Graphs
We explore the use of a knowledge graphs, that capture general or common...
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12/10/2018
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems
We propose Top-N-Rank, a novel family of list-wise Learning-to-Rank mode...
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11/06/2018
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement
Real-world social networks and digital platforms are comprised of indivi...
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09/04/2018
Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Many machine learning, statistical inference, and portfolio optimization...
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07/13/2017
Advances in Artificial Intelligence Require Progress Across all of Computer Science
Advances in Artificial Intelligence require progress across all of compu...
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08/10/2015
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning
Maier et al. (2010) introduced the relational causal model (RCM) for rep...
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07/30/2015
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences
We present CRISNER (Conditional & Relative Importance Statement Network ...
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01/16/2014
Representing and Reasoning with Qualitative Preferences for Compositional Systems
Many applications, e.g., Web service composition, complex system design,...
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01/15/2014
Efficient Markov Network Structure Discovery Using Independence Tests
We present two algorithms for learning the structure of a Markov network...
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09/26/2013
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability
We introduce z-transportability, the problem of estimating the causal ef...
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07/03/2011