Search Results for author: Stephen Bach

Found 6 papers, 2 papers with code

Alfred: A System for Prompted Weak Supervision

1 code implementation29 May 2023 Peilin Yu, Stephen Bach

Alfred is the first system for programmatic weak supervision (PWS) that creates training data for machine learning by prompting.

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Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction

no code implementations26 Sep 2013 Stephen Bach, Bert Huang, Ben London, Lise Getoor

Graphical models for structured domains are powerful tools, but the computational complexities of combinatorial prediction spaces can force restrictions on models, or require approximate inference in order to be tractable.

Structured Prediction

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization

no code implementations NeurIPS 2012 Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'Leary

In this paper, we improve the scalability of MPE inference in a class of graphical models with piecewise-linear and piecewise-quadratic dependencies and linear constraints over continuous domains.

A Bayesian Approach to Concept Drift

no code implementations NeurIPS 2010 Stephen Bach, Mark Maloof

To cope with concept drift, we placed a probability distribution over the location of the most-recent drift point.

Change Point Detection

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