Search Results for author: Percy S. Liang

Found 6 papers, 3 papers with code

Calibrated Structured Prediction

1 code implementation NeurIPS 2015 Volodymyr Kuleshov, Percy S. Liang

In user-facing applications, displaying calibrated confidence measures---probabilities that correspond to true frequency---can be as important as obtaining high accuracy.

Medical Diagnosis Optical Character Recognition +2

Learning with Relaxed Supervision

1 code implementation NeurIPS 2015 Jacob Steinhardt, Percy S. Liang

For weakly-supervised problems with deterministic constraints between the latent variables and observed output, learning necessitates performing inference over latent variables conditioned on the output, which can be intractable no matter how simple the model family is.

Simple MAP Inference via Low-Rank Relaxations

1 code implementation NeurIPS 2014 Roy Frostig, Sida Wang, Percy S. Liang, Christopher D. Manning

We focus on the problem of maximum a posteriori (MAP) inference in Markov random fields with binary variables and pairwise interactions.

Asymptotically Optimal Regularization in Smooth Parametric Models

no code implementations NeurIPS 2009 Percy S. Liang, Guillaume Bouchard, Francis R. Bach, Michael. I. Jordan

Many types of regularization schemes have been employed in statistical learning, each one motivated by some assumption about the problem domain.

Multi-Task Learning

A Probabilistic Approach to Language Change

no code implementations NeurIPS 2007 Alexandre Bouchard-Côté, Percy S. Liang, Dan Klein, Thomas L. Griffiths

We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic tree.

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