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54 results

Timbul Widodo
Doubly robust estimates causal effects high dimensions flexible Bayesian methods DRbayes R Software

Doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods Use DRbayes (DoublyRobustHD) ...

20:42
Doubly robust estimates causal effects high dimensions flexible Bayesian methods DRbayes R Software

7 views

3d ago

Machine Learning Street Talk
The AI That Replaces Hours of Model Tuning - Frank Hutter

Frank Hutter, co-founder of Prior Labs, talks about TabPFN, a tabular foundation model that makes predictions in a single forward ...

1:53:13
The AI That Replaces Hours of Model Tuning - Frank Hutter

20,249 views

3d ago

ML for Mortals
Machine Intelligence 1 tutorial 12 pt 3/4 Bayesian Networks

An introduction to Bayesian Networks. This video was recorded as a tutorial for the course: "Machine Intelligence 1: Supervised ...

8:00
Machine Intelligence 1 tutorial 12 pt 3/4 Bayesian Networks

0 views

4d ago

Standarity
What is the Evidence Lower Bound?

What is the Evidence Lower Bound? The evidence lower bound is the objective that makes variational inference tractable — since ...

4:58
What is the Evidence Lower Bound?

1 view

4d ago

LuxaK
Converge‑Then‑Diversify: Rethinking MOBO

Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box functions with ...

7:28
Converge‑Then‑Diversify: Rethinking MOBO

6 views

4d ago

SkilliAlgo
Latent Dirichlet Allocation Explained Simply | AI Algorithm Guide

Discover topics by modeling documents as topic mixtures.

1:06
Latent Dirichlet Allocation Explained Simply | AI Algorithm Guide

2 views

4d ago

Nicklaus Millican
Maximum Entropy (MaxEnt) Methods: Overcoming Overfitting with Regularization | Chapter 8

How do we reduce overfitting once we've detected it? In this chapter of my series on Maximum Entropy (MaxEnt) methods, ...

25:02
Maximum Entropy (MaxEnt) Methods: Overcoming Overfitting with Regularization | Chapter 8

34 views

6d ago

Gamma Media
Heretic Beat the Experts. Then 16 Models Were Tested.

Philipp Weidmann, an independent researcher, built Heretic: a command-line tool that removes the safety training from an open ...

1:49
Heretic Beat the Experts. Then 16 Models Were Tested.

9 views

4d ago

Quanten Deep-Dive Podcast
Quantum Bayesian Optimization (QBO) 🎧 RAP Music Explanation: Optimize More Intelligently

Further information at: https://schneppat.de/quantum-bayesian-optimization_qbo/ 🧠 Quantum Bayesian Optimization – or QBO for ...

4:27
Quantum Bayesian Optimization (QBO) 🎧 RAP Music Explanation: Optimize More Intelligently

63 views

4d ago

Dr.Jagadeesh Selvaraj
Module 1 | Introduction to Probabilistic Graphical Models | Atharva University Mumbai, India

Probabilistic Graphical Models | Module 1 | Atharva University Mumbai, India | Prof. Dr. Jagadeesh Selvaraj.

10:47
Module 1 | Introduction to Probabilistic Graphical Models | Atharva University Mumbai, India

33 views

5d ago

Research Potential
Root Cause Analysis Master Prompts

10 Master Prompts for Root Cause Analysis 1. RCA-FUN-001 — Root Cause Analysis Foundations, Problem Definition, Systems ...

9:32
Root Cause Analysis Master Prompts

3 views

1d ago

pharmaphorum media limited
Getting predictive technologies to patients, with Concr

Earlier this year, the FDA released draft guidance endorsing Bayesian methods and simulation-based evidence in clinical trials in ...

18:50
Getting predictive technologies to patients, with Concr

11 views

4d ago

Hoffecker-Lab
CB2330 Session 9, Video 1 - End-to-End Modelling

The pre-lecture video for Session 9 of CB2330, Scientific Computing for the Life Sciences, at KTH Royal Institute of Technology.

55:29
CB2330 Session 9, Video 1 - End-to-End Modelling

35 views

1d ago

AI4I & IAS – Institute for Advanced Study
IAS Seminar #14/2026 Diffusion and flow-based models for inverse problems – Yee Whye Teh

Diffusion and flow-based models for inverse problems Yee Whye Teh Across diverse scientific domains, scientists face the same ...

1:14:29
IAS Seminar #14/2026 Diffusion and flow-based models for inverse problems – Yee Whye Teh

20 views

5d ago

SkilliAlgo
KOVA

Field: Deep Learning Sector/Industry: Software and IT Category: Neural Networks Sub-category: Deep Neural Architectures ...

1:19
KOVA

9 views

6d ago

Data Analytics Lab Global
Time Series Change Point Detection in R: Harbinger Methods

00:00 What makes a regime change real 00:36 Change-point detector families and assumptions 01:47 Shared workflow for ...

29:34
Time Series Change Point Detection in R: Harbinger Methods

2 views

4d ago

Love Conquers Fear
#80: The AI Prisoner’s Dilemma: Competition, Coordination & Creating Better Outcomes — Eric Bradlow

An applied statistician and entrepreneur, he specializes in using advanced analytics, machine learning, Bayesian methods, and ...

2:03:15
#80: The AI Prisoner’s Dilemma: Competition, Coordination & Creating Better Outcomes — Eric Bradlow

178 views

4d ago

The Loop Horizon
How Astronomers Turned Dead Stars Into a Galaxy-Sized Gravitational Wave Detector, Explained Simply

In 2023, astronomers announced something remarkable: a galaxy-sized gravitational-wave detector built not from lasers and ...

2:50
How Astronomers Turned Dead Stars Into a Galaxy-Sized Gravitational Wave Detector, Explained Simply

1 view

4d ago

Quanten Deep-Dive Podcast
AI Meets Quantum Computing: Understanding QHT 🎧 RAP Music Explanation

Further Information in German at: https://schneppat.de/quantum-assisted-hyperparameter-tuning_qht/ RAP Music Explanation: ...

3:41
AI Meets Quantum Computing: Understanding QHT 🎧 RAP Music Explanation

18 views

3d ago

Statistics Learning
Python Fundamentals for Beginners | Problem Solving, IPO Cycle, Tokens, L-Value & R-Value | Day 1

Welcome to Day 1 of Computer Science – Unit 1: Computational Thinking & Programming. In this lecture, we build the foundation ...

17:01
Python Fundamentals for Beginners | Problem Solving, IPO Cycle, Tokens, L-Value & R-Value | Day 1

157 views

6d ago

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