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11/24/2021
On computable learning of continuous features
We introduce definitions of computable PAC learning for binary classific...
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06/25/2021
Conjugate Energy-Based Models
In this paper, we propose conjugate energy-based models (CEBMs), a new c...
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07/14/2020
Verification of ML Systems via Reparameterization
As machine learning is increasingly used in essential systems, it is imp...
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11/01/2019
A Formal Proof of PAC Learnability for Decision Stumps
We present a machine-checked, formal proof of PAC learnability of the co...
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10/02/2018
Sketching for Latent Dirichlet-Categorical Models
Recent work has explored transforming data sets into smaller, approximat...
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07/26/2017
Enforcing Constraints on Outputs with Unconstrained Inference
Increasingly, practitioners apply neural networks to complex problems in...
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12/12/2013
