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interventions

Neural Information Processing Systems

While SE CE, it is not generally true thatSE = CE. Consider now an intervention onX0. In the example, this only happens when we set the weights, means and variances to very particular values. Here we present a slightly adapted version of Invariant Causal Prediction [27]. Under this approach, the complexity oftesting asingle setofpredictors ofsize k is the cost of performing a least-squares regression and computing the residuals (O(k2N)) and the cost of performing the t-test and F-test over each split of thee environments (O(eN)).


Appendix

Neural Information Processing Systems

For vision transformers, we train linear probes on representations from individual tokens or on the representation averaged over all tokens, at the output of different transformer layers (each layer meaning a full transformer block including self-attention and MLP). Moreover, ResNets differ from ViTs in that the number of channels changes throughout the model, with fewer channels in the earlier layers. Wetrain alinear probe on each individual token and plot the average accuracy over the test set, in percent. Here we plot the results for each token a subset of layers in 3models: ViT-B/32 trained with aclassification token (CLS) or global average pooling (GAP), as well as a ResNet50. There are two main observations tobemade.


492114f6915a69aa3dd005aa4233ef51-Supplemental.pdf

Neural Information Processing Systems

A deterministic path uses a self-attention and cross-attention to summarize contexts. B.1 1DRegression Architectures For models without attention (CNP, NP, BNP), we set`pre = 4,`post = 2,`dec = 3,dh = 128. For NP we set dz = 128. For Student-t noise, we addedฮต ฮณ T(2.1) to the curves generated from GP with RBF kernel, whereT(2.1) is a Student'st distribution with degree of freedom2.1 and ฮณ Unif(0,0.15). After realizing them, the prior functions are used to optimize via Bayesian optimization.


It Was a Record Year for Dating Apps. They Still Don't Have It Figured Out

WIRED

Of all things about dating that people got wrong in 2024, one remains the standout: that old people don't have a lot of sex. On several dating platforms, boomers (individuals aged 59 to 72) were actually the fastest growing userbase. Aging singles were also having the most orgasmic sex of their lives, according to data from Match.com, Since 2022, the kink-positive app Feeld has experienced a 340 percent surge in users who are 60-plus. "Feeld has definitely introduced me to new desires and made me 100 percent more aware of my body and what I enjoy," Wendy, 72, said when we spoke in April.



Don't Worry, This Author's Got Our Dystopia All Figured Out

WIRED

About a decade ago, the author Alexander Weinstein suffered an unexpectedly affecting loss: His computer died, taking with it years of his creative work. "I was deeply upset," says the 39-year-old writer and instructor. "Around the same time, a lot of my students were getting iPhones, and talking about how much they loved them--saying that, if they lost anything, please don't let it be their iPhones. I got the sense that we were all starting to forge this very deep emotional connection with technology." Weinstein's response came in the form of a short story, "Saying Goodbye to Yang," which is now the first entry in his future-shocked, surprisingly moving, thoroughly excellent new speculative-fiction collection, Children of the New World.


Xero to leverage data for small business lending market

ZDNet

After spending 10 years building a cloud accounting platform, New Zealand's Xero is looking to partner with banks to allow small businesses access to capital and debt. Speaking at Xerocon South in Brisbane, Xero CEO and co-founder Rod Drury said the issue with small business is that it is such a fragmented sector, and given how small some businesses are, it often becomes too risky for a bank to lend. "Our view is, if we can partner with large banks and deal with the issues of how to get them lending large pools of money to small business, that would be a very purposeful thing," he said. "If you get a bit more money, you can bring another container of raw materials in, you can bid for a larger project and you can create jobs." Drury said the idea to head down this path came after Xero realised the potential of its data.