nhaliday + unit   291

Workshop Abstract | Identifying and Understanding Deep Learning Phenomena
ICML 2019 workshop, June 15th 2019, Long Beach, CA

We solicit contributions that view the behavior of deep nets as natural phenomena, to be investigated with methods inspired from the natural sciences like physics, astronomy, and biology.
unit  workshop  acm  machine-learning  science  empirical  nitty-gritty  atoms  deep-learning  model-class  icml  data-science  rigor  replication  examples  ben-recht  physics 
9 hours ago by nhaliday
Stat 260/CS 294: Bayesian Modeling and Inference
- Priors (conjugate, noninformative, reference)
- Hierarchical models, spatial models, longitudinal models, dynamic models, survival models
- Testing
- Model choice
- Inference (importance sampling, MCMC, sequential Monte Carlo)
- Nonparametric models (Dirichlet processes, Gaussian processes, neutral-to-the-right processes, completely random measures)
- Decision theory and frequentist perspectives (complete class theorems, consistency, empirical Bayes)
- Experimental design
unit  course  berkeley  expert  michael-jordan  machine-learning  acm  bayesian  probability  stats  lecture-notes  priors-posteriors  markov  monte-carlo  frequentist  latent-variables  decision-theory  expert-experience  confidence  sampling 
july 2017 by nhaliday
huge popularity of "behavioral economics"among powerful people=largely excitement at how much more control they'd exert over stupider people

Time for Behavioral Political Economy? An Analysis of Articles in Behavioral Economics: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1846184
This study analyzes leading research in behavioral economics to see whether it contains advocacy of paternalism and whether it addresses the potential cognitive limitations and biases of the policymakers who are going to implement paternalist policies. The findings reveal that 20.7% of the studied articles in behavioral economics propose paternalist policy action and that 95.5% of these do not contain any analysis of the cognitive ability of policymakers. This suggests that behavioral political economy, in which the analytical tools of behavioral economics are applied to political decision-makers as well, would offer a useful extension of the research program.

Research shows that Americans and conservatives can be less open to cues to change behavior.

It’s For Your Own Good!: http://www.nybooks.com/articles/2013/03/07/its-your-own-good/
- Cass Sunstein

Against Autonomy: Justifying Coercive Paternalism
by Sarah Conly
Cambridge University Press, 206 pp., $95.00

WHO NUDGES THE NUDGERS?: https://jacobitemag.com/2017/10/26/who-nudges-the-nudgers/
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february 2017 by nhaliday
A New Germ Theory: https://www.theatlantic.com/magazine/archive/1999/02/a-new-germ-theory/377430/
The dictates of evolution virtually demand that the causes of some of humanity's chronic and most baffling "noninfectious" illnesses will turn out to be pathogens -- that is the radical view of a prominent evolutionary biologist

A LATE-SEPTEMBER heat wave enveloped Amherst College, and young people milled about in shorts or sleeveless summer frocks, or read books on the grass. Inside the red-brick buildings framing the leafy quadrangle students listened to lectures on Ellison and Emerson, on Paul Verlaine and the Holy Roman Empire. Few suspected that strains of the organism that causes cholera were growing nearby, in the Life Sciences Building. If they had known, they would probably not have grasped the implications. But these particular strains of cholera make Paul Ewald smile; they are strong evidence that he is on the right track. Knowing the rules of evolutionary biology, he believes, can change the course of infectious disease.

I HAVE a motto," Gregory Cochran told me recently. "'Big old diseases are infectious.' If it's common, higher than one in a thousand, I get suspicious. And if it's old, if it has been around for a while, I get suspicious."

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february 2017 by nhaliday
Measurement error and the replication crisis | Science
In a low-noise setting, the theoretical results of Hausman and others correctly show that measurement error will attenuate coefficient estimates. But we can demonstrate with a simple exercise that the opposite occurs in the presence of high noise and selection on statistical significance.
study  org:nat  science  meta:science  stats  signal-noise  gelman  methodology  hypothesis-testing  replication  social-science  error  metabuch  unit  nibble  bounded-cognition  measurement  🔬  info-dynamics 
february 2017 by nhaliday
Orthogonal — Greg Egan
In Yalda’s universe, light has no universal speed and its creation generates energy.

On Yalda’s world, plants make food by emitting their own light into the dark night sky.
greg-egan  fiction  gedanken  physics  electromag  differential  geometry  thermo  space  cool  curiosity  reading  exposition  init  stat-mech  waves  relativity  positivity  unit  wild-ideas  speed  gravity  big-picture  🔬  xenobio  ideas  scifi-fantasy  signum 
february 2017 by nhaliday
Genetics and educational attainment | npj Science of Learning
Figure 1 is quite good
Sibling Correlations for Behavioral Traits. This figure displays sibling correlations for five traits measured in a large sample of Swedish brother pairs born 1951–1970. All outcomes except years of schooling are measured at conscription, around the age of 18.

correlations for IQ/EA for adoptees are actually nontrivial in adulthood, hmm

Figure 2 has GWAS R^2s through 2016 (in-sample, I guess?)
study  org:nat  biodet  education  methodology  essay  survey  genetics  GWAS  variance-components  init  causation  🌞  metrics  population-genetics  explanation  unit  nibble  len:short  big-picture  behavioral-gen  state-of-art  iq  embodied  correlation  twin-study  sib-study  summary  europe  nordic  data  visualization  s:*  tip-of-tongue  spearhead  bioinformatics 
february 2017 by nhaliday
A brief philosophical discussion:
Measure theory, as much as any branch of mathematics, is an area where it is important to be acquainted with the basic notions and statements, but not desperately important to be acquainted with the detailed proofs, which are often rather unilluminating. One should always have in a mind a place where one could go and look if one ever did need to understand a proof: for me, that place is Rudin’s Real and Complex Analysis (Rudin’s “red book”).
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february 2017 by nhaliday
6.896: Essential Coding Theory
- probabilistic method and Chernoff bound for Shannon coding
- probabilistic method for asymptotically good Hamming codes (Gilbert coding)
- sparsity used for LDPC codes
mit  course  yoga  tcs  complexity  coding-theory  math.AG  fields  polynomials  pigeonhole-markov  linear-algebra  probabilistic-method  lecture-notes  bits  sparsity  concentration-of-measure  linear-programming  linearity  expanders  hamming  pseudorandomness  crypto  rigorous-crypto  communication-complexity  no-go  madhu-sudan  shannon  unit  p:**  quixotic 
february 2017 by nhaliday
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