Media Summary: Dr. Phebe Vayanos, from the University of Southern California Viterbi School of Engineering, shares her recent research with the ... (30 septembre 2021 / September 30, 2021) Atelier Optimisation sous incertitude / Workshop: Optimization under uncertainty ... Part of Discrete Optimization Talks: Phebe Vayanos -- University of Southern California

Active Preference Elicitation Via Adjustable - Detailed Analysis & Overview

Dr. Phebe Vayanos, from the University of Southern California Viterbi School of Engineering, shares her recent research with the ... (30 septembre 2021 / September 30, 2021) Atelier Optimisation sous incertitude / Workshop: Optimization under uncertainty ... Part of Discrete Optimization Talks: Phebe Vayanos -- University of Southern California Reinforcement Learning from Human Feedback improves Large Language Models alignment with human intentions. KR 2012 - Craig Boutilier - Preference Elicitation and Preference Learning in Social Choice This educational video is part of the course Decision Making Under Uncertainty: Introduction to Structured Expert Judgment, ...

Google Tech Talks May 21, 2007 ABSTRACT Credits: Speaker:Craig Boutilier. Convex Maximization over a convex set is a very hard problem, even if P = NP. Reformulating this problem as an optimization ... Lucas Maystre recently graduated with a PhD from the IC School at EPFL. He discusses his research on comparison-based ...

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Active Preference Elicitation via Adjustable Robust Optimization
Active Preference Elicitation via Adjustable Robust Optimization
Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
[QA] Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
KR 2012 - Craig Boutilier - Preference Elicitation and Preference Learning in Social Choice
Learning to make customized user predictions through preference elicitation by Aadirupa Saha
SEJ1x_2019_Extra_Other_SEJ_methods-video
PGMO days 2020 : Interactive Methods and Preference Elicitation
Regret-based Methods for Preference Elicitation and...
Aras Selvi: Convex Maximization via Adjustable Robust Optimization
Day 1 - Paolo Viappiani - Preference aggregation, preference elicitation and preference learning
View Detailed Profile
Active Preference Elicitation via Adjustable Robust Optimization

Active Preference Elicitation via Adjustable Robust Optimization

Dr. Phebe Vayanos, from the University of Southern California Viterbi School of Engineering, shares her recent research with the ...

Active Preference Elicitation via Adjustable Robust Optimization

Active Preference Elicitation via Adjustable Robust Optimization

(30 septembre 2021 / September 30, 2021) Atelier Optimisation sous incertitude / Workshop: Optimization under uncertainty ...

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Part of Discrete Optimization Talks: https://talks.discreteopt.com Phebe Vayanos -- University of Southern California

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Reinforcement Learning from Human Feedback improves Large Language Models alignment with human intentions.

[QA] Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

[QA] Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Reinforcement Learning from Human Feedback improves Large Language Models alignment with human intentions.

KR 2012 - Craig Boutilier - Preference Elicitation and Preference Learning in Social Choice

KR 2012 - Craig Boutilier - Preference Elicitation and Preference Learning in Social Choice

KR 2012 - Craig Boutilier - Preference Elicitation and Preference Learning in Social Choice

Learning to make customized user predictions through preference elicitation by Aadirupa Saha

Learning to make customized user predictions through preference elicitation by Aadirupa Saha

Contextual

SEJ1x_2019_Extra_Other_SEJ_methods-video

SEJ1x_2019_Extra_Other_SEJ_methods-video

This educational video is part of the course Decision Making Under Uncertainty: Introduction to Structured Expert Judgment, ...

PGMO days 2020 : Interactive Methods and Preference Elicitation

PGMO days 2020 : Interactive Methods and Preference Elicitation

Title: Interactive Methods and

Regret-based Methods for Preference Elicitation and...

Regret-based Methods for Preference Elicitation and...

Google Tech Talks May 21, 2007 ABSTRACT Credits: Speaker:Craig Boutilier.

Aras Selvi: Convex Maximization via Adjustable Robust Optimization

Aras Selvi: Convex Maximization via Adjustable Robust Optimization

Convex Maximization over a convex set is a very hard problem, even if P = NP. Reformulating this problem as an optimization ...

Day 1 - Paolo Viappiani - Preference aggregation, preference elicitation and preference learning

Day 1 - Paolo Viappiani - Preference aggregation, preference elicitation and preference learning

Abstract

Comparison-Based Preference Active Learning (ft. Lucas Maystre)

Comparison-Based Preference Active Learning (ft. Lucas Maystre)

Lucas Maystre recently graduated with a PhD from the IC School at EPFL. He discusses his research on comparison-based ...