Reasoning about Uncertainty in High-dimensional Data Analysis

Reasoning about Uncertainty in High-dimensional Data Analysis

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Ming Yuan: 'Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2)'

Calibrated Inference: Statistical Inference That Accounts For Both Sampling Uncertainty And...

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On Algorithms and Barriers of Intractability in High-Dimensional Statistical Inference

Pacheco: Probabilistic Reasoning in Complex Systems (Jones Seminar)

Martin Zand: Visualization of High-dimensional data

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Hua Wei: Trustworthy Decision Making in the Real World through Uncertainty Reasoning (Metacog. AI)

David Gamarnik | Algorithmic Challenges in High-Dimensional Inference Models

A Flexible Framework for Hypothesis Testing in High-Dimensions

Emmanuel Candès Stanford - The centrality of statistical reasoning in a data rich era

Exploration of High-Dimensional Data through Subspace Analysis & Dynamic Projections

Recent Progress in High-Dimensional Learning

All About that Bayes: Probability, Statistics, and the Quest to Quantify Uncertainty

Bayesian Evidential Learning

Exploring Complex, High-Dimensional Data For Hidden Structure - Marvin Weinstein (SETI Talks)

Sensitivity Analysis