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1441 results for "replacements" across all locations

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Products 30July,2018 / New York City

The City Council’s Proposed Cap on Uber

The New York City Council has proposed a series of bills that could make Uber more expensive and less reliable throughout the 5 boroughs.

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Stories 27June,2017 / Chicago

Spending 4th of July in Chicago? Here’s where to go.

Ready to celebrate Independence Day? From fun bars to the fireworks show, here are ten places to go in Chicago this 4th of July.

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Products 28February,2017 / Indiana

Hey Terre Haute, your Uber is arriving!

Uber is officially launching in Terre Haute this winter. We’re so excited to join your community and bring you safe and reliable rides at the touch of a button.

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Products 28February,2017 / Illinois

Carbondale, your Uber is here!

Uber is coming to the capital of Southern Illinois. We’re thrilled to join the Carbondale community and bring you safe and reliable rides at the touch of a button.

Products 10March,2017 / Chennai

Everything you need to know about tolls in Chennai

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Products 17January,2017 / Guwahati

Introducing uberX: Spacious sedans. Top driver partners. An elevated experience.

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Products 14August,2015 / United Kingdom

Your Safety Checklist

Top tips on using Uber to keep you safe in Bristol

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Promotions 4April,2016 / Los Angeles

Living is easy at Coachella & Stagecoach 2016

Uber AI, Engineering 1December,2018 / Global

LanczosNet: Multi-Scale Deep Graph Convolutional Networks

R. Liao, Z. Zhao, R. Urtasun, R. Zemel
Relational data can generally be represented as graphs. For processing such graph structured data, we propose LanczosNet, which uses the Lanczos algorithm to construct low rank approximations of the graph Laplacian for graph convolution. […] [PDF]
Neural Information Processing Systems (NeurIPS), 2018

Uber AI, Engineering 10July,2016 / Global

Magnetic Hamiltonian Monte Carlo

N. Tripuraneni, M. Rowland, Z. Ghahramani, R. Turner
Hamiltonian Monte Carlo (HMC) exploits Hamiltonian dynamics to construct efficient proposals for Markov chain Monte Carlo (MCMC). In this paper, we present a generalization of HMC which exploits textit{non-canonical} Hamiltonian dynamics. […] [PDF]
International Conference on Machine Learning (ICML), 2017