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05/13/2023
FoundWright: A System to Help People Re-find Pages from Their Web-history
Re-finding information is an essential activity, however, it can be diff...
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05/28/2022
Learning from Self-Sampled Correct and Partially-Correct Programs
Program synthesis aims to generate executable programs that are consiste...
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01/26/2022
Synchromesh: Reliable code generation from pre-trained language models
Large pre-trained language models have been used to generate code,provid...
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11/04/2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Most recent progress in natural language understanding (NLU) has been dr...
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03/26/2021
NL-EDIT: Correcting semantic parse errors through natural language interaction
We study semantic parsing in an interactive setting in which users corre...
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10/24/2020
Structure-Grounded Pretraining for Text-to-SQL
Learning to capture text-table alignment is essential for table related ...
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07/21/2017
Machine Teaching: A New Paradigm for Building Machine Learning Systems
The current processes for building machine learning systems require prac...
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11/18/2016
Analysis of a Design Pattern for Teaching with Features and Labels
We study the task of teaching a machine to classify objects using featur...
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06/06/2015
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations
We introduce Selective Greedy Equivalence Search (SGES), a restricted ve...
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03/25/2015
Regularized Minimax Conditional Entropy for Crowdsourcing
There is a rapidly increasing interest in crowdsourcing for data labelin...
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02/13/2013
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approx...
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02/06/2013
Structure and Parameter Learning for Causal Independence and Causal Interaction Models
This paper discusses causal independence models and a generalization of ...
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02/06/2013
Models and Selection Criteria for Regression and Classification
When performing regression or classification, we are interested in the c...
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02/06/2013
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data...
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01/30/2013
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in w...
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01/30/2013
Graphical Models and Exponential Families
We provide a classification of graphical models according to their repre...
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01/23/2013
Quantifier Elimination for Statistical Problems
Recent improvement on Tarski's procedure for quantifier elimination in t...
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01/19/2013
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003)
This is the Proceedings of the Nineteenth Conference on Uncertainty in A...
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01/16/2013
Dependency Networks for Collaborative Filtering and Data Visualization
We describe a graphical model for probabilistic relationships---an alter...
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01/16/2013
Perfect Tree-Like Markovian Distributions
We show that if a strictly positive joint probability distribution for a...
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01/10/2013
Using Temporal Data for Making Recommendations
We treat collaborative filtering as a univariate time series estimation ...
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12/12/2012
Staged Mixture Modelling and Boosting
In this paper, we introduce and evaluate a data-driven staged mixture mo...
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12/12/2012
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence
We describe CFW, a computationally efficient algorithm for collaborative...
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12/12/2012
Factorization of Discrete Probability Distributions
We formulate necessary and sufficient conditions for an arbitrary discre...
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12/12/2012
Finding Optimal Bayesian Networks
In this paper, we derive optimality results for greedy Bayesian-network ...
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10/19/2012
Practically Perfect
The property of perfectness plays an important role in the theory of Bay...
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10/19/2012
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that lea...
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06/13/2012