Media Summary: Keynote talk 3: Caroline Uhler. Causal Representation This is a short description of my paper, "Composing Efficient, Robust Tests for Policy Selection", to be presented at Celestine Mendler-Duenner, Tijana Zrnic Predictions in the social world generally influence the target of prediction, ...

Uai 2023 Tutorial Online Optimization - Detailed Analysis & Overview

Keynote talk 3: Caroline Uhler. Causal Representation This is a short description of my paper, "Composing Efficient, Robust Tests for Policy Selection", to be presented at Celestine Mendler-Duenner, Tijana Zrnic Predictions in the social world generally influence the target of prediction, ... Full Paper: Almost Matching Exactly Website: ... The video describes the proposed approach in the paper titled "Optimal Budget Allocation for Crowdsourcing Labels for Graphs" ... "Provably Efficient Adversarial Imitation

"Conditional Abstraction Trees for Sample-Efficient Reinforcement Introduction by Kun Zhang and Opening remarks by Richard Scheines and Peter Spirtes Keynote Talk 1: Alexandra ...

Photo Gallery

UAI 2023 Tutorial: Online Optimization Meets Federated Learning
UAI 2023 Keynote Talk: Caroline Uhler "Causal Representation Learning & Optimal Intervention Design"
Composing Efficient, Robust Tests for Policy Selection -- UAI 2023
UAI 2023 Oral Session 3: Functional Causal Bayesian Optimization
UAI 2023 Tutorial: Data Compression With Machine Learning
UAI 2024 Tutorial 1: An Introduction to Performative Prediction
Variable Importance Matching for Causal Inference (UAI 2023)
Optimal Budget Allocation for Crowdsourcing Labels for Graphs (UAI 2023)
UAI 2023 Oral Session 4: Provably Efficient Adversarial Imitation Learning with Unknown Transitions
UAI 2023 Tutorial: Structure Learning Using Benchpress
UAI 2023 Oral Session 5: Meta Learning Control Variates Variance Reduction with Limited Data
UAI 2023 Oral Session 4: Conditional Abstraction Trees for Sample Efficient Reinforcement Learning
View Detailed Profile
UAI 2023 Tutorial: Online Optimization Meets Federated Learning

UAI 2023 Tutorial: Online Optimization Meets Federated Learning

"

UAI 2023 Keynote Talk: Caroline Uhler "Causal Representation Learning & Optimal Intervention Design"

UAI 2023 Keynote Talk: Caroline Uhler "Causal Representation Learning & Optimal Intervention Design"

Keynote talk 3: Caroline Uhler. Causal Representation

Composing Efficient, Robust Tests for Policy Selection -- UAI 2023

Composing Efficient, Robust Tests for Policy Selection -- UAI 2023

This is a short description of my paper, "Composing Efficient, Robust Tests for Policy Selection", to be presented at

UAI 2023 Oral Session 3: Functional Causal Bayesian Optimization

UAI 2023 Oral Session 3: Functional Causal Bayesian Optimization

"Functional Causal Bayesian

UAI 2023 Tutorial: Data Compression With Machine Learning

UAI 2023 Tutorial: Data Compression With Machine Learning

"Data Compression With Machine

UAI 2024 Tutorial 1: An Introduction to Performative Prediction

UAI 2024 Tutorial 1: An Introduction to Performative Prediction

Celestine Mendler-Duenner, Tijana Zrnic Predictions in the social world generally influence the target of prediction, ...

Variable Importance Matching for Causal Inference (UAI 2023)

Variable Importance Matching for Causal Inference (UAI 2023)

Full Paper: https://proceedings.mlr.press/v216/lanners23a.html Almost Matching Exactly Website: ...

Optimal Budget Allocation for Crowdsourcing Labels for Graphs (UAI 2023)

Optimal Budget Allocation for Crowdsourcing Labels for Graphs (UAI 2023)

The video describes the proposed approach in the paper titled "Optimal Budget Allocation for Crowdsourcing Labels for Graphs" ...

UAI 2023 Oral Session 4: Provably Efficient Adversarial Imitation Learning with Unknown Transitions

UAI 2023 Oral Session 4: Provably Efficient Adversarial Imitation Learning with Unknown Transitions

"Provably Efficient Adversarial Imitation

UAI 2023 Tutorial: Structure Learning Using Benchpress

UAI 2023 Tutorial: Structure Learning Using Benchpress

"Structure

UAI 2023 Oral Session 5: Meta Learning Control Variates Variance Reduction with Limited Data

UAI 2023 Oral Session 5: Meta Learning Control Variates Variance Reduction with Limited Data

"Meta

UAI 2023 Oral Session 4: Conditional Abstraction Trees for Sample Efficient Reinforcement Learning

UAI 2023 Oral Session 4: Conditional Abstraction Trees for Sample Efficient Reinforcement Learning

"Conditional Abstraction Trees for Sample-Efficient Reinforcement

UAI 2023 Opening and Keynote Talk: Alexandra Chouldechova "Algorithms in Unjust Systems"

UAI 2023 Opening and Keynote Talk: Alexandra Chouldechova "Algorithms in Unjust Systems"

Introduction by Kun Zhang and Opening remarks by Richard Scheines and Peter Spirtes Keynote Talk 1: Alexandra ...