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01/30/2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
The ability to accurately locate and navigate to a specific object is a ...
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09/10/2021
D-REX: Dialogue Relation Extraction with Explanations
Existing research studies on cross-sentence relation extraction in long-...
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06/11/2021
Local Explanation of Dialogue Response Generation
In comparison to the interpretation of classification models, the explan...
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09/05/2020
HyperFair: A Soft Approach to Integrating Fairness Criteria
Recommender systems are being employed across an increasingly diverse se...
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04/07/2020
Causal Relational Learning
Causal inference is at the heart of empirical research in natural and so...
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01/16/2020
Estimating Aggregate Properties In Relational Networks With Unobserved Data
Aggregate network properties such as cluster cohesion and the number of ...
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01/05/2020
User Profiling Using Hinge-loss Markov Random Fields
A variety of approaches have been proposed to automatically infer the pr...
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06/10/2019
Estimating Causal Effects of Tone in Online Debates
Statistical methods applied to social media posts shed light on the dyna...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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09/13/2018
A Fairness-aware Hybrid Recommender System
Recommender systems are used in variety of domains affecting people's li...
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07/03/2018
Scalable Structure Learning for Probabilistic Soft Logic
Statistical relational frameworks such as Markov logic networks and prob...
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11/16/2017
Using Noisy Extractions to Discover Causal Knowledge
Knowledge bases (KB) constructed through information extraction from tex...
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07/04/2016
Generic Statistical Relational Entity Resolution in Knowledge Graphs
Entity resolution, the problem of identifying the underlying entity of r...
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07/02/2016
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks
A neighborhood graph, which represents the instances as vertices and the...
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05/17/2015
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
A fundamental challenge in developing high-impact machine learning techn...
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01/16/2014
Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition
We address the cost-sensitive feature acquisition problem, where misclas...
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09/26/2013
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Graphical models for structured domains are powerful tools, but the comp...
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08/30/2013
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization
In modern data science problems, techniques for extracting value from bi...
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03/28/2013
Scalable Text and Link Analysis with Mixed-Topic Link Models
Many data sets contain rich information about objects, as well as pairwi...
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01/30/2013
Utility Elicitation as a Classification Problem
We investigate the application of classification techniques to utility e...
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05/09/2012
Bisimulation-based Approximate Lifted Inference
There has been a great deal of recent interest in methods for performing...
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03/15/2012
Probabilistic Similarity Logic
Many machine learning applications require the ability to learn from and...
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07/25/2011
Lifted Graphical Models: A Survey
This article presents a survey of work on lifted graphical models. We re...
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11/16/2010
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem ...
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05/27/2010
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
Many social Web sites allow users to annotate the content with descripti...
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05/26/2010
