'Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization', by Shouri Hu, Haowei Wang, Zhongxiang Dai, Bryan Kian Hsiang Low, Szu Hui Ng.
http://jmlr.org/papers/v26/22-0523.html
#regret #optimization #minimization
'Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components', by Naichen Shi, Salar Fattahi, Raed Al Kontar.
http://jmlr.org/papers/v25/24-0400.html
#minimization #factorization #sparse
'Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization', by Hao Wang, Ye Wang, Xiangyu Yang.
http://jmlr.org/papers/v25/23-0449.html
#minimization #optimization #smoothing
'Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates', by Hanbaek Lyu.
http://jmlr.org/papers/v25/23-0349.html
#regularization #regularized #minimization
'Low-Rank Matrix Estimation in the Presence of Change-Points', by Lei Shi, Guanghui Wang, Changliang Zou.
http://jmlr.org/papers/v25/22-0852.html
#matrix #trace #minimization
'Sharpness-Aware Minimization and the Edge of Stability', by Philip M. Long, Peter L. Bartlett.
http://jmlr.org/papers/v25/23-1285.html
#gradient #minimization #hessian
'Generalization and Stability of Interpolating Neural Networks with Minimal Width', by Hossein Taheri, Christos Thrampoulidis.
http://jmlr.org/papers/v25/23-0422.html
#classifiers #generalization #minimization
'Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization', by Daniel LeJeune, Jiayu Liu, Reinhard Heckel.
http://jmlr.org/papers/v25/22-1197.html
#misclassification #distributions #minimization
'Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction', by Yuze Han, Guangzeng Xie, Zhihua Zhang.
http://jmlr.org/papers/v25/21-0264.html
#optimization #minimization #minimax
A Panic Attack May Not Be What You Think
I’m going to explain to you what a panic attack is.
It does not just mean experiencing a great fear or being terrified irrespective of circumstances. I’ve experienced two bouts of panic attacks in my life. I had to take Xanax to counter the attacks until time worked its magic, and the attacks ceased.
A panic attack is not a feeling of panic in the face of a real danger. If you feel something is threatening is happening, and you feel panic, this is a normal response to the threat. If you can remove the threat, and your panic subsides, this is also the sign that what you are experiencing is not a panic attack.
“I was watching this thing on TV and I felt I was having a panic attack. Then I turned the TV off, and I was okay.”
What you were experiencing wasn’t a panic attack, it was a normal reaction to something your brain found threatening, out there, in the world.
See, a panic attack is an irrational sense of fear, when there is nothing out there that can ostensibly harm you. There is nothing that you can remove from your environment to make the panic go away. A panic attack is your body thinking that there’s a threat, when there is no threat. No amount of reassurance will make the panic attack go away, because it is irrational.
Your Autistic Life is supported by readers like you. Use one of the links below to support my writing! Thank you.
Join Us Bonfire MerchA panic attack is very different from the first scenario I gave you above, because there is nothing short of taking medicines that will make it go away. Breathing exercises and moderate it, but they won’t eliminate it. How do I know? Again, I’ve had two bouts of panic attacks. I could look around me, and see there was nothing threatening in my environment, but my sense of panic did not go away. I could reason that there was no threat, but this rationality found no purchase in the irrationality of the panic attack.
“But I was able to make my panic go away with…”
If it was anything short of taking an anxiolytic, what you experienced was plain old panic, and not a panic attack. Using the incorrect language, and insisting that your plain old panic is a panic attack, is harmful in much the same that insisting that someone who experiences a bout of anxiety on a date is suffering from social anxiety, or that someone who is sad at the death of a pet is experiencing depression.
People normally rebound from their anxiety or their sadness. One sure sign that what you are dealing with is not social anxiety or depression is that you can easily fix the problem. People with social anxiety, for instance, will ruminate before and after the event. People experiencing depression won’t be pulled out of depression by a joke.
It is harmful in the same way that saying “we’re all a little autistic” is harmful. It is a way to minimize a real problem, a problem that cannot be merely fixed by reorganizing your world.
#anxiety #AutisticWriters #danger #irrational #minimization #panic #PanicAttack #YourAutisticLife
https://www.yourautisticlife.com/2024/02/05/a-panic-attack-may-not-be-what-you-think/
This is an exceptional article about #COVID #risk #minimization techniques. I wish I had written it. I recommend it to anyone who takes #SARS2 #RiskManagement seriously.
tl;dr? Here is a brief summary
https://howtohideapandemic.substack.com/p/how-to-hide-a-pandemic
The article summaries the techniques of #risk #mininizers, who while telling you to do your own #riskAssessment are also engaged in *propaganda* (and I choose that word advisedly) to establish a different narrative with the objective of manufacturing consent for #massInfection
You cannot #RiskManage what you do not see, think about, talk about or measure. If you want to manage your COVID risk, you need to understand, think around & through the minimization techniques.
I wrote about this recently in my Raven Rock post, where similar techniques were used during the cold war. As a society, we have done this before, with the risk of nuclear war. And currently, with the risk of climate change.
Thank you @anarchademic for highlighting it. I have subscribed.
'The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima', by Peter L. Bartlett, Philip M. Long, Olivier Bousquet.
http://jmlr.org/papers/v24/23-043.html
#minimization #gradient #optimization
'Near-Optimal Weighted Matrix Completion', by Oscar López.
http://jmlr.org/papers/v24/22-0331.html
#matrix #matrices #minimization
'Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach', by Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson.
http://jmlr.org/papers/v24/21-1130.html
#sparse #minimization #optimization
Stop Minimizing People's Problems
This is another one of those moves that can easily end up being ableist as fuck.
#YourAutisticLife #ActuallyAutistic #AutisticWriters #disability #ableism #minimization #problems #dismissal
#Control , #Consent, #Minimization , #Interoperability enforced by user-centric, exchange protocols. In the scope of these protocols, we have a role:
- holder - a party that owns data and gives content to share data with others via VP
- issuer - party that creates a data point via VC and shares it with a holder
- verifier - attest and check data
Roles are not the permanent user could change roles during the exchange session #ssi
#SSI principles
#Existence — exist in real life
#Control —control their identities.
#Access —access to their own data
#Transparency — Systems and algorithms must be transparent.
#Persistence — must be long-lived.
#Portability — identity must be transportable
#Interoperability — Identities should be as widely usable as possible.
#Consent — Users must agree to the use of their identity.
#Minimization — Disclosure of claims must be minimized
#Protection — The rights of users must be protected
Learning Trees of $\ell_0$-Minimization Problems
'Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start', by Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo.
http://jmlr.org/papers/v24/22-1043.html
#minimization #optimization #optimal
'A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition', by Masaru Ito, Zhaosong Lu, Chuan He.
http://jmlr.org/papers/v24/22-0983.html
#gradient #optimization #minimization
