
Local Explanation of Dialogue Response Generation
In comparison to the interpretation of classification models, the explan...
read it

HyperFair: A Soft Approach to Integrating Fairness Criteria
Recommender systems are being employed across an increasingly diverse se...
read it

Causal Relational Learning
Causal inference is at the heart of empirical research in natural and so...
read it

Estimating Aggregate Properties In Relational Networks With Unobserved Data
Aggregate network properties such as cluster cohesion and the number of ...
read it

User Profiling Using Hingeloss Markov Random Fields
A variety of approaches have been proposed to automatically infer the pr...
read it

Estimating Causal Effects of Tone in Online Debates
Statistical methods applied to social media posts shed light on the dyna...
read it

SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
read it

A Fairnessaware Hybrid Recommender System
Recommender systems are used in variety of domains affecting people's li...
read it

Scalable Structure Learning for Probabilistic Soft Logic
Statistical relational frameworks such as Markov logic networks and prob...
read it

Using Noisy Extractions to Discover Causal Knowledge
Knowledge bases (KB) constructed through information extraction from tex...
read it

Generic Statistical Relational Entity Resolution in Knowledge Graphs
Entity resolution, the problem of identifying the underlying entity of r...
read it

Adaptive Neighborhood Graph Construction for Inference in MultiRelational Networks
A neighborhood graph, which represents the instances as vertices and the...
read it

HingeLoss Markov Random Fields and Probabilistic Soft Logic
A fundamental challenge in developing highimpact machine learning techn...
read it

Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition
We address the costsensitive feature acquisition problem, where misclas...
read it

Hingeloss Markov Random Fields: Convex Inference for Structured Prediction
Graphical models for structured domains are powerful tools, but the comp...
read it

A HypergraphPartitioned Vertex Programming Approach for Largescale Consensus Optimization
In modern data science problems, techniques for extracting value from bi...
read it

Scalable Text and Link Analysis with MixedTopic Link Models
Many data sets contain rich information about objects, as well as pairwi...
read it

Utility Elicitation as a Classification Problem
We investigate the application of classification techniques to utility e...
read it

Bisimulationbased Approximate Lifted Inference
There has been a great deal of recent interest in methods for performing...
read it

Probabilistic Similarity Logic
Many machine learning applications require the ability to learn from and...
read it

Lifted Graphical Models: A Survey
This article presents a survey of work on lifted graphical models. We re...
read it

A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem ...
read it

Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
Many social Web sites allow users to annotate the content with descripti...
read it

Integrating Structured Metadata with Relational Affinity Propagation
Structured and semistructured data describing entities, taxonomies and ...
read it