PyVideo.org · UAI 2023

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Event: UAI 2023

Conference of Uncertainty in Artificial Intelligence held in Pittsburgh in 2023. The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

Image from Algorithms in Unjust Systems

Algorithms in Unjust Systems

Image from An Improved Variational Approximate Posterior for the Deep Wishart

An Improved Variational Approximate Posterior for the Deep Wishart

Image from Causal Representation Learning

Causal Representation Learning

Image from Causal Representation Learning & Optimal Intervention Design

Causal Representation Learning & Optimal Intervention Design

Image from Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning

Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning

Image from Data Compression With Machine Learning

Data Compression With Machine Learning

Image from Establishing Markov Equivalence in Cyclic Directed Graphs

Establishing Markov Equivalence in Cyclic Directed Graphs

Image from Functional Causal Bayesian Optimization

Functional Causal Bayesian Optimization

Image from Human-in-the-Loop Mixup

Human-in-the-Loop Mixup

Image from Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?

Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?

Image from Keep-Alive Caching for the Hawkes Process

Keep-Alive Caching for the Hawkes Process

Image from Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective

Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective

Image from Local Message Passing on Frustrated Systems

Local Message Passing on Frustrated Systems

Image from Long Story Short: Omitted Variable Bias in Causal ML

Long Story Short: Omitted Variable Bias in Causal ML

Image from Meta Learning Control Variates Variance Reduction with Limited Data

Meta Learning Control Variates Variance Reduction with Limited Data

Image from MixupE Understanding and Improving Mixup from Directional Derivative

MixupE Understanding and Improving Mixup from Directional Derivative

Image from Neural Probabilistic Logic Programming in Discrete Continuous Domains

Neural Probabilistic Logic Programming in Discrete Continuous Domains

Image from On Minimizing the Impact of Dataset Shifts on Actionable Explanations

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

Image from On Testability and Goodness of Fit Tests in Missing Data Models

On Testability and Goodness of Fit Tests in Missing Data Models

Image from Online Optimization Meets Federated Learning

Online Optimization Meets Federated Learning

Image from Parity Calibration

Parity Calibration

Image from Partial Identification of Dose Responses with Hidden Confounders

Partial Identification of Dose Responses with Hidden Confounders

Image from Poster Spotlights 1

Poster Spotlights 1

Image from Poster Spotlights 2

Poster Spotlights 2

Image from Poster Spotlights 3

Poster Spotlights 3

Image from Poster Spotlights 4

Poster Spotlights 4

Image from Probabilistic Circuits That Know What They Don't Know

Probabilistic Circuits That Know What They Don't Know

Image from Provably Efficient Adversarial Imitation Learning with Unknown Transitions

Provably Efficient Adversarial Imitation Learning with Unknown Transitions

Image from Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning

Image from Revisiting Bayesian Network Learning with Small Vertex Cover

Revisiting Bayesian Network Learning with Small Vertex Cover

Image from Structure Learning Using Benchpress

Structure Learning Using Benchpress

Image from The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference

The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference

Image from Towards Causal Foundations of Safe AI

Towards Causal Foundations of Safe AI

Image from Towards Physically Reliable Molecular Representation Learning

Towards Physically Reliable Molecular Representation Learning

Image from UAI 2023 Oral Session 6: On Inference and Learning With Probabilistic Generating Circuits

UAI 2023 Oral Session 6: On Inference and Learning With Probabilistic Generating Circuits

Image from UAI 2023 Oral Session 6: Probabilistic Flow Circuits: Towards Deep Models for Tractable Inference

UAI 2023 Oral Session 6: Probabilistic Flow Circuits: Towards Deep Models for Tractable Inference