University of New Hampshire

∙ Durham , United States ∙ 0 followers

The University of New Hampshire is a public research university with its main campus in Durham, New Hampshire.

Bayesian Robust Optimization for Imitation Learning

One of the main challenges in imitation learning is determining what act...
07/24/2020 ∙ by Daniel S. Brown, et al. ∙ 23 ∙ share

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Structured Prediction using cGANs with Fusion Discriminator

We propose the fusion discriminator, a single unified framework for inco...
04/30/2019 ∙ by Faisal, et al. ∙ 10 ∙ share

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Neural Style Representations and the Large-Scale Classification of Artistic Style

The artistic style of a painting is a subtle aesthetic judgment used by ...
11/16/2016 ∙ by Jeremiah Johnson, et al. ∙ 0 ∙ share

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Optimal Subsampling for Large Sample Logistic Regression

For massive data, the family of subsampling algorithms is popular to dow...
02/03/2017 ∙ by HaiYing Wang, et al. ∙ 0 ∙ share

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Stick-Breaking Policy Learning in Dec-POMDPs

Expectation maximization (EM) has recently been shown to be an efficient...
05/01/2015 ∙ by Miao Liu, et al. ∙ 0 ∙ share

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Blackbox: A procedure for parallel optimization of expensive black-box functions

This note provides a description of a procedure that is designed to effi...
05/03/2016 ∙ by Paul Knysh, et al. ∙ 0 ∙ share

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On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model

The sequential dependence model (SDM) is a popular retrieval model which...
05/01/2018 ∙ by Laura Dietz, et al. ∙ 0 ∙ share

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Adapting Mask-RCNN for Automatic Nucleus Segmentation

Automatic segmentation of microscopy images is an important task in medi...
05/01/2018 ∙ by Jeremiah W. Johnson, et al. ∙ 0 ∙ share

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Subspace Match Probably Does Not Accurately Assess the Similarity of Learned Representations

Learning informative representations of data is one of the primary goals...
01/03/2019 ∙ by Jeremiah Johnson, et al. ∙ 0 ∙ share

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A Short Survey on Probabilistic Reinforcement Learning

A reinforcement learning agent tries to maximize its cumulative payoff b...
01/21/2019 ∙ by Reazul Hasan Russel, et al. ∙ 0 ∙ share

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Robust Exploration with Tight Bayesian Plausibility Sets

Optimism about the poorly understood states and actions is the main driv...
04/17/2019 ∙ by Reazul H. Russel, et al. ∙ 0 ∙ share

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A Probabilistic Approach to Satisfiability of Propositional Logic Formulae

We propose a version of WalkSAT algorithm, named as BetaWalkSAT. This me...
12/04/2019 ∙ by Reazul Hasan Russel, et al. ∙ 0 ∙ share

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Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos

Paxos, the de facto standard approach to solving distributed consensus, ...
08/06/2020 ∙ by Heidi Howard, et al. ∙ 0 ∙ share

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Robust Maximum Entropy Behavior Cloning

Imitation learning (IL) algorithms use expert demonstrations to learn a ...
01/04/2021 ∙ by Mostafa Hussein, et al. ∙ 0 ∙ share

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A Contrastive Learning Approach to Auroral Identification and Classification

Unsupervised learning algorithms are beginning to achieve accuracies com...
09/28/2021 ∙ by Jeremiah W. Johnson, et al. ∙ 0 ∙ share

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University of New Hampshire

Featured Researchers

Chris Amato

Marek Petrik

HaiYing Wang

Reazul Hasan Russel

Aleksey Charapko

Laura Dietz

Jeremiah W. Johnson

Jeremiah Johnson

Yannis Korkolis

Reazul H. Russel

Tianyi Gu

Bayesian Robust Optimization for Imitation Learning

Structured Prediction using cGANs with Fusion Discriminator

Neural Style Representations and the Large-Scale Classification of Artistic Style

Optimal Subsampling for Large Sample Logistic Regression

Stick-Breaking Policy Learning in Dec-POMDPs

Blackbox: A procedure for parallel optimization of expensive black-box functions

On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model

Adapting Mask-RCNN for Automatic Nucleus Segmentation

Subspace Match Probably Does Not Accurately Assess the Similarity of Learned Representations

A Short Survey on Probabilistic Reinforcement Learning

Robust Exploration with Tight Bayesian Plausibility Sets

A Probabilistic Approach to Satisfiability of Propositional Logic Formulae

Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos

Robust Maximum Entropy Behavior Cloning

A Contrastive Learning Approach to Auroral Identification and Classification