#probabilityboundsanalysis search results

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Inquisitive Bird

Dec 2, 2020

This figure is insane. The extreme underrepresentation of z-values between -2 and 2 (which is just around the commonly used p-value threshold of 0.05) demonstrates publication bias/p-hacking/etc. Sharp edge near the threshold. Source: arxiv.org/abs/2009.09440

Scientific_Bird's tweet image. This figure is insane.

The extreme underrepresentation of z-values between -2 and 2 (which is just around the commonly used p-value threshold of 0.05) demonstrates publication bias/p-hacking/etc. Sharp edge near the threshold.

Source:
arxiv.org/abs/2009.09440

🍰🧸☁️LIKELI☆彡

@likelihood_art

Nov 23, 2022

Sketch dump ★ these are some studies I did recently~ I tried some perspective stuff, pretty happy with them!

Probability and Statistics

@probnstat

Jul 27

Probability, Stochastic Processes and Optimization:

Kelly

@bykellymcd

Nov 24

People often ask me how to know for sure if an image was created by artificial intelligence. So I marked in the attached photo (in the red circles) some clues that make me suspect that it is a fabricated photo, although it cannot be said with absolute certainty in this case.

bykellymcd's tweet image. People often ask me how to know for sure if an image was created by artificial intelligence. So I marked in the attached photo (in the red circles) some clues that make me suspect that it is a fabricated photo, although it cannot be said with absolute certainty in this case.

SHOLLY-PEE

@Sholly_Pee1

Oct 28

How to Frame a High Probability Setup in a Simple guideline : 🧵

Google DeepMind

@GoogleDeepMind

Jan 29, 2019

Neural networks can be vulnerable to adversarial noise. We demonstrate the remarkable effectiveness of interval bound propagation in training provably robust image classifiers: arxiv.org/abs/1810.12715

Kirk Borne

@KirkDBorne

May 22, 2018

A Cheat Sheet on #Probability for #DataScientists: bit.ly/2sRLTjC #abdsc #Statistics #DataScience #BigData

Python Programming

@PythonPr

Sep 8

Hypothesis Test Statistics & Confidence Intervals! Image Credit- Professor Jahn

PythonPr's tweet image. Hypothesis Test Statistics &amp; Confidence Intervals!
Image Credit- Professor Jahn

Probability and Statistics

@probnstat

May 29

1/7 On EXPECTATION MAXIMIZATION (EM) ALGORITHM:

Coral Candy

@Coral_Candy_Ai

20 h

Confidence level: tried 5 filters 💁‍♀️ Which one’s your fave?

HYDRA

@Hydra_Thahmid

May 3

Which pattern do you think is High Probability here & why?

Hydra_Thahmid's tweet image. Which pattern do you think is High Probability here &amp; why?

Probability and Statistics

@probnstat

May 27

1/7 On BINOMIAL PROBABILITY DISTRIBUTION:

dr polly phd

@drpollyphd

Nov 25

It's getting harder and harder to tell if an image was generated by artificial intelligence. I've circled some clues here that might mean this is AI.

drpollyphd's tweet image. It's getting harder and harder to tell if an image was generated by artificial intelligence. I've circled some clues here that might mean this is AI.

Probability and Statistics

@probnstat

Dec 2, 2023

Factorization Criterion for Sufficient Statistics.

Jascha Sohl-Dickstein

@jaschasd

Jun 18, 2022

For years I've shown this 2x2 grid in talks on infinite width networks, but with just a big ❓ in the upper-left. No longer! In arxiv.org/abs/2206.07673 we characterize wide Bayesian neural nets in parameter space. This fills a theory gap, and enables *much* faster MCMC sampling.