Media Summary: This is the NIPS 2016 spotlight video for the paper " Deep Learning and Combinatorial Optimization 2021 "How much data is sufficient to learn high-performing algorithms?" A version of this video with audio description track is available here: Hard ...

Ellen Vitercik On Sample Complexity - Detailed Analysis & Overview

This is the NIPS 2016 spotlight video for the paper " Deep Learning and Combinatorial Optimization 2021 "How much data is sufficient to learn high-performing algorithms?" A version of this video with audio description track is available here: Hard ... Algorithms often have tunable parameters that have a considerable impact on their runtime and solution quality. A growing body ... Purdue University ECE 595ML Machine Learning Spring 2020 Instructor: Professor Stanley Chan URL: ... Paper presentation at the 19th ACM Conference on Economics and Computation (EC'18), Ithaca, NY, June 19, 2018: Title: A ...

Algorithm configuration is an important aspect of modern data science and algorithm design. Algorithms regularly depend on ... Recorded July 10th, 2018 This tutorial Machine Learning in Automated Mechanism Design for Pricing and Auctions will cover the ...

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Sample Complexity of Automated Mechanism Design
Ellen Vitercik on "Sample Complexity of Revenue Maximization"
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?"
Estimating Approximate Incentive Compatibility - Ellen Vitercik
How Machine Learning Improves Algorithms with Ellen Vitercik
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms?
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
ECE595ML Lecture 28-1 Sample and Model Complexity
ECE595ML Lecture 28-2 Sample and Model Complexity
EC'18: A General Theory of Sample Complexity for Multi-Item Profit Maximization
Ellen Vitercik on Differentially Private Algorithm and Auction Configuration
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Sample Complexity of Automated Mechanism Design

Sample Complexity of Automated Mechanism Design

This is the NIPS 2016 spotlight video for the paper "

Ellen Vitercik on "Sample Complexity of Revenue Maximization"

Ellen Vitercik on "Sample Complexity of Revenue Maximization"

Title:

Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

Recorded 28 February 2023.

Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?"

Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?"

Deep Learning and Combinatorial Optimization 2021 "How much data is sufficient to learn high-performing algorithms?"

Estimating Approximate Incentive Compatibility - Ellen Vitercik

Estimating Approximate Incentive Compatibility - Ellen Vitercik

Intro ...

How Machine Learning Improves Algorithms with Ellen Vitercik

How Machine Learning Improves Algorithms with Ellen Vitercik

A version of this video with audio description track is available here: https://www.youtube.com/watch?v=-Z1WDEuT6lU Hard ...

M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms?

M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms?

Algorithms often have tunable parameters that have a considerable impact on their runtime and solution quality. A growing body ...

Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond

Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond

Invited Speaker:

ECE595ML Lecture 28-1 Sample and Model Complexity

ECE595ML Lecture 28-1 Sample and Model Complexity

Purdue University | ECE 595ML | Machine Learning | Spring 2020 Instructor: Professor Stanley Chan URL: ...

ECE595ML Lecture 28-2 Sample and Model Complexity

ECE595ML Lecture 28-2 Sample and Model Complexity

Purdue University | ECE 595ML | Machine Learning | Spring 2020 Instructor: Professor Stanley Chan URL: ...

EC'18: A General Theory of Sample Complexity for Multi-Item Profit Maximization

EC'18: A General Theory of Sample Complexity for Multi-Item Profit Maximization

Paper presentation at the 19th ACM Conference on Economics and Computation (EC'18), Ithaca, NY, June 19, 2018: Title: A ...

Ellen Vitercik on Differentially Private Algorithm and Auction Configuration

Ellen Vitercik on Differentially Private Algorithm and Auction Configuration

Algorithm configuration is an important aspect of modern data science and algorithm design. Algorithms regularly depend on ...

Machine Learning for Pricing & Auctions - Tutorial ICML2018

Machine Learning for Pricing & Auctions - Tutorial ICML2018

Recorded July 10th, 2018 This tutorial Machine Learning in Automated Mechanism Design for Pricing and Auctions will cover the ...