#theoreticalsampling search results

UC Berkeley's "Theoretical Statistics" PDF:stat.berkeley.edu/~aditya/resour… (audio generated by NotebookLM)


Holy shit… Harvard just proved your base model might secretly be a genius. 🤯 Their new paper “Reasoning with Sampling” shows that you don’t need reinforcement learning to make LLMs reason better. They used a 'Markov chain sampling trick' that simply re-samples from the…

rryssf_'s tweet image. Holy shit… Harvard just proved your base model might secretly be a genius. 🤯

Their new paper “Reasoning with Sampling” shows that you don’t need reinforcement learning to make LLMs reason better.

They used a 'Markov chain sampling trick' that simply re-samples from the…

quick review on sampling techniques ⬇️ #rpmtwt

notelleaa's tweet image. quick review on sampling techniques ⬇️ #rpmtwt

My attempt to graphically explain what happens with sampling error & power when you increase sample size.


I wrote a thing about "RL or control as Bayesian inference", which encompasses - RLHF and controlled generation in LLMs - Finetuning or guidance in diffusion models - Diffusion samplers from general unnormalized densities - Sequential Monte Carlo sampling for all of the above

brekelmaniac's tweet image. I wrote a thing about "RL or control as Bayesian inference", which encompasses
- RLHF and controlled generation in LLMs
- Finetuning or guidance in diffusion models
- Diffusion samplers from general unnormalized densities
- Sequential Monte Carlo sampling for all of the above

📝 Probability Sampling (Si SySt ay Clus Mu?) clus as crush 😭 1. Simple Random 2. Systematic 3. Stratified 4. Cluster 5. Multi-Stage 📝 Non-Probability Sampling (CoSnoPurQuo) 1. Convenience 2. Snowball 3. Purposive 4. Quota

gmdprpm's tweet image. 📝 Probability Sampling (Si SySt ay Clus Mu?) clus as crush 😭
1. Simple Random
2. Systematic
3. Stratified
4. Cluster
5. Multi-Stage

📝 Non-Probability Sampling (CoSnoPurQuo)
1. Convenience
2. Snowball
3. Purposive
4. Quota

Gibbs sampling is an MCMC algorithm for sampling from complex distributions. In machine learning, it's a key engine for Bayesian inference, notably in Latent Dirichlet Allocation (LDA) for topic modeling. This is used in real life to discover hidden themes in customer reviews or…

probnstat's tweet image. Gibbs sampling is an MCMC algorithm for sampling from complex distributions. In machine learning, it's a key engine for Bayesian inference, notably in Latent Dirichlet Allocation (LDA) for topic modeling. This is used in real life to discover hidden themes in customer reviews or…
probnstat's tweet image. Gibbs sampling is an MCMC algorithm for sampling from complex distributions. In machine learning, it's a key engine for Bayesian inference, notably in Latent Dirichlet Allocation (LDA) for topic modeling. This is used in real life to discover hidden themes in customer reviews or…

against my better judgement, i have pushed a _very_ simple, naive, incomplete version of the entropy sampler to the git repo. I want to give anyone interested at least a framework to start playing with even while i am working on getting a proper implementation working and stable.…

_xjdr's tweet image. against my better judgement, i have pushed a _very_ simple, naive, incomplete version of the entropy sampler to the git repo. I want to give anyone interested at least a framework to start playing with even while i am working on getting a proper implementation working and stable.…
_xjdr's tweet image. against my better judgement, i have pushed a _very_ simple, naive, incomplete version of the entropy sampler to the git repo. I want to give anyone interested at least a framework to start playing with even while i am working on getting a proper implementation working and stable.…

let's try to model a simple real world phenomenon and improve on it, using this box loop and probML

PraCha98's tweet image. let's try to model a simple real world phenomenon and improve on it, using this box loop and probML

I’m excited to share “Predictive sampling with forecasting autoregressive models” (arxiv.org/abs/2002.09928), in collaboration with @emiel_hoogeboom. We exploit the parallel inference property of autoregressive models (ARMs) in order to speed up sampling.


UC Berkeley's "Theoretical Statistics" PDF: stat.berkeley.edu/~aditya/resour…

Riazi_Cafe_en's tweet image. UC Berkeley's "Theoretical Statistics"

PDF: stat.berkeley.edu/~aditya/resour…

Cambridge "Statistics" lecture notes PDF: statslab.cam.ac.uk/~rrw1/stats/Sa… Example sheets & more: statslab.cam.ac.uk/~rrw1/stats/in…

Riazi_Cafe_en's tweet image. Cambridge "Statistics" lecture notes

PDF: statslab.cam.ac.uk/~rrw1/stats/Sa…

Example sheets & more: statslab.cam.ac.uk/~rrw1/stats/in…


arxiv.org/abs/1910.09930 our new preprint "Boson sampling with 20 input photons in 60-mode interferometers at 10^14 state spaces" in the real “sampling” regime where it becomes impossible to exhaust all possible output combinations. See our set-up photo.

chaoyanglu's tweet image. arxiv.org/abs/1910.09930
our new preprint "Boson sampling with 20 input photons in 60-mode interferometers at 10^14 state spaces" in the real “sampling” regime where it becomes impossible to exhaust all possible output combinations. See our set-up photo.

Experiment: Thermodynamic Spin Inpainting We hide the middle of a letter "A" and let an (emulated) thermodynamic computer nudge the spins until the gap heals. The physics-y sampler literally “re-grows” the missing strokes. Under the hood: I used THRML to run block-Gibbs…

Turns out you can already vibe code future TSUs with current AIs Thermodynamic Computing software can evolve extremely fast thanks to modern tooling Scaling from MNIST to AGI for this paradigm will be like a NewGame+ Speedrun



A Python Code to generate samples from Gaussian(0,1) Distribution using TensorFlow.

probnstat's tweet image. A Python Code to generate samples from Gaussian(0,1) Distribution using TensorFlow.

It’s definitely some sort of simulation Before going to sleep, I realized I need curvature-based sampling for my flow matching geometry representation experiments I wake up, and the first paper I see is this one I won’t spoil it this time, but it’s 100% worth reading if you’re…

Luckyballa's tweet image. It’s definitely some sort of simulation

Before going to sleep, I realized I need curvature-based sampling for my flow matching geometry representation experiments

I wake up, and the first paper I see is this one

I won’t spoil it this time, but it’s 100% worth reading if you’re…

Introducing Thermodynamic Bayesian Inference. We propose physical systems whose thermal equilibrium states correspond to Bayesian posteriors. This allows for sampling posteriors with improved time and energy costs. Deep dive coming soon.

MaxAifer's tweet image. Introducing Thermodynamic Bayesian Inference. 

We propose physical systems whose thermal equilibrium states correspond to Bayesian posteriors. This allows for sampling posteriors with improved time and energy costs. Deep dive coming soon.

ECDO Theory's Obsequience Observation Analysis (extract study). One in four hundred trillion - chance that the ECDO's observed monument-obsequience is random. 😎

EthicalSkeptic's tweet image. ECDO Theory's Obsequience Observation Analysis (extract study).

One in four hundred trillion - chance that the ECDO's observed monument-obsequience is random.

😎

Entropy Sampler Update: Making steady progress and the results are continuing to improve. working on output consistency now Static thresholds were never going to work, so im also working on ewma aided learned and dynamic thresholds. Next step is to add parallel CoT Generation

_xjdr's tweet image. Entropy Sampler Update:
Making steady progress and the results are continuing to improve. working on output consistency now

Static thresholds were never going to work, so im also working on ewma aided learned and dynamic thresholds. 

Next step is to add parallel CoT Generation

Theoretical sampling in #qualitativeresearch. Our blog post demystifies this strategic selection process. Explore how theoretical sampling shapes robust studies and enhances your research toolkit. | Read more: delvetool.com/blog/theoretic… #theoreticalsampling #delvetool

delvetool's tweet image. Theoretical sampling in #qualitativeresearch. Our blog post demystifies this strategic selection process. Explore how theoretical sampling shapes robust studies and enhances your research toolkit. | Read more: delvetool.com/blog/theoretic… #theoreticalsampling #delvetool

Excellent 'State of the Methods' paper authored by Dr Geraldine Foley @foleyg31 with colleagues @conlonce Virpi Timonen @SWSP_TCD @ucdgearyinst @cathelliotodare on interviewing and #theoreticalSampling published @IJQMonline #QualitativeResearch

Trinity researchers, including Dr Geraldine Foley from @tcd_ot have published a State of the Methods article on interviewing in #QualitativeResearch. Read more: bit.ly/332ytoF #QualitativeInterview #LoveIrishResearch #researchMATTERS

tcddublin's tweet image. Trinity researchers, including Dr Geraldine Foley from @tcd_ot have published a State of the Methods article on interviewing in #QualitativeResearch. 
Read more: bit.ly/332ytoF #QualitativeInterview #LoveIrishResearch #researchMATTERS


New open access paper from @DrMBotha. I'm learning more about #TheoreticalSampling and this paper has me particularly jazzed. Ck it out!! #OpenAccess #AcademicChatter #phdchat

NEW OPEN ACCESS PAPER: "Autism is me": an investigation of how autistic individuals make sense of autism and stigma. The qual paper explores identity, stigma, the tensions between how autistic people see themselves, and how they feel society sees them. tandfonline.com/doi/full/10.10…



Congratulations to our colleague Dr. Catherine O'Dare and colleagues on their new article #theoreticalsampling #groundedtheory

This post is unavailable.

journals.sagepub.com/doi/full/10.11… Great to see just published paper on #theoreticalsampling in #groundedtheory which I co-led with @conlonce co-authored with @conlonce @cathelliotodare @UCDSocialPWJ and others @SWSP_TCD @socworkbeaumont. The 'how to do' of theoretical sampling in GT.


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Theoretical sampling in #qualitativeresearch. Our blog post demystifies this strategic selection process. Explore how theoretical sampling shapes robust studies and enhances your research toolkit. | Read more: delvetool.com/blog/theoretic… #theoreticalsampling #delvetool

delvetool's tweet image. Theoretical sampling in #qualitativeresearch. Our blog post demystifies this strategic selection process. Explore how theoretical sampling shapes robust studies and enhances your research toolkit. | Read more: delvetool.com/blog/theoretic… #theoreticalsampling #delvetool

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