Search Results for author: samuel cohen

Found 8 papers, 3 papers with code

Healing Gaussian Process Experts

no code implementations ICML 2020 samuel cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Deisenroth

Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems.

Gaussian Processes General Classification

Riemannian Convex Potential Maps

1 code implementation18 Jun 2021 samuel cohen, Brandon Amos, Yaron Lipman

Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e. g., in physics and geology.

Healing Products of Gaussian Processes

1 code implementation14 Feb 2021 samuel cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth

Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems.

Gaussian Processes General Classification

Sliced Multi-Marginal Optimal Transport

no code implementations14 Feb 2021 samuel cohen, K S Sesh Kumar, Marc Peter Deisenroth

We study multi-marginal optimal transport, a generalization of optimal transport that allows us to define discrepancies between multiple measures.

Density Estimation Multi-Task Learning

Correlated Bandits for Dynamic Pricing via the ARC algorithm

no code implementations8 Feb 2021 samuel cohen, Tanut Treetanthiploet

The Asymptotic Randomised Control (ARC) algorithm provides a rigorous approximation to the optimal strategy for a wide class of Bayesian bandits, while retaining reasonable computational complexity.

Estimating Barycenters of Measures in High Dimensions

no code implementations14 Jul 2020 Samuel Cohen, Michael Arbel, Marc Peter Deisenroth

Barycentric averaging is a principled way of summarizing populations of measures.

Aligning Time Series on Incomparable Spaces

1 code implementation22 Jun 2020 Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth

Dynamic time warping (DTW) is a useful method for aligning, comparing and combining time series, but it requires them to live in comparable spaces.

Dynamic Time Warping Imitation Learning +1

Multi-Graph Decoding for Code-Switching ASR

no code implementations18 Jun 2019 Emre Yilmaz, Samuel Cohen, Xianghu Yue, David van Leeuwen, Haizhou Li

This archive contains recordings with monolingual Frisian and Dutch speech segments as well as Frisian-Dutch CS speech, hence the recognition performance on monolingual segments is also vital for accurate transcriptions.

automatic-speech-recognition Language Modelling +1

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