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08/31/2023
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO
Scientific computing has experienced a surge empowered by advancements i...
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10/07/2022
Design Amortization for Bayesian Optimal Experimental Design
Bayesian optimal experimental design is a sub-field of statistics focuse...
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09/16/2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In temporal-difference reinforcement learning algorithms, variance in va...
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10/28/2021
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Temporal-Difference (TD) learning methods, such as Q-Learning, have prov...
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10/12/2020
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
The recent increase in volume and complexity of available astronomical d...
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10/15/2017
Learning Infinite RBMs with Frank-Wolfe
In this work, we propose an infinite restricted Boltzmann machine (RBM),...
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09/18/2017
Multi-Person Pose Estimation via Column Generation
We study the problem of multi-person pose estimation in natural images. ...
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03/02/2017
Belief Propagation in Conditional RBMs for Structured Prediction
Restricted Boltzmann machines (RBMs) and conditional RBMs (CRBMs) are po...
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11/09/2015
Decomposition Bounds for Marginal MAP
Marginal MAP inference involves making MAP predictions in systems define...
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10/09/2014
Distributed Estimation, Information Loss and Exponential Families
Distributed learning of probabilistic models from multiple data reposito...
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06/27/2012
