💠عنوان: "Probabilistic Programming for Machine Learning"
🎙 ارائهدهنده: امیرعباس اسدی
🔻توضیحات: Bayesian Learning provides a natural framework for approaching Machine Learning problems. For a long time, due to the significant computational cost of Bayesian inference, this framework was limited to simple models and problems with a small amount of data. Probabilistic Programming is the fruit of many years of research in approximate Bayesian inference aiming to address these limitations. This presentation is a friendly introduction to Probabilistic Programming. We will explore how modern inference methods and recent advances in Differentiable Programming can help us unlock the full potential of Bayesian Machine Learning.
Presentation outline: - Bayesian Learning and Probabilistic Programs - Probabilistic Programming in Julia - Approximate Bayesian Inference -- Markov Chain Monte Carlo -- Variational Inference - Differentiable Programming - Discussing some examples: -- Bayesian Deep Learning -- Bayesian Neural Differential Equations -- Inverse Optimization
پیشنیاز های علمی: آمار و احتمال مقدماتی، آشنایی با Deep Learning
💠عنوان: "Probabilistic Programming for Machine Learning"
🎙 ارائهدهنده: امیرعباس اسدی
🔻توضیحات: Bayesian Learning provides a natural framework for approaching Machine Learning problems. For a long time, due to the significant computational cost of Bayesian inference, this framework was limited to simple models and problems with a small amount of data. Probabilistic Programming is the fruit of many years of research in approximate Bayesian inference aiming to address these limitations. This presentation is a friendly introduction to Probabilistic Programming. We will explore how modern inference methods and recent advances in Differentiable Programming can help us unlock the full potential of Bayesian Machine Learning.
Presentation outline: - Bayesian Learning and Probabilistic Programs - Probabilistic Programming in Julia - Approximate Bayesian Inference -- Markov Chain Monte Carlo -- Variational Inference - Differentiable Programming - Discussing some examples: -- Bayesian Deep Learning -- Bayesian Neural Differential Equations -- Inverse Optimization
پیشنیاز های علمی: آمار و احتمال مقدماتی، آشنایی با Deep Learning
Ukrainian forces successfully attacked Russian vehicles in the capital city of Kyiv thanks to a public tip made through the encrypted messaging app Telegram, Ukraine's top law-enforcement agency said on Tuesday. The company maintains that it cannot act against individual or group chats, which are “private amongst their participants,” but it will respond to requests in relation to sticker sets, channels and bots which are publicly available. During the invasion of Ukraine, Pavel Durov has wrestled with this issue a lot more prominently than he has before. Channels like Donbass Insider and Bellum Acta, as reported by Foreign Policy, started pumping out pro-Russian propaganda as the invasion began. So much so that the Ukrainian National Security and Defense Council issued a statement labeling which accounts are Russian-backed. Ukrainian officials, in potential violation of the Geneva Convention, have shared imagery of dead and captured Russian soldiers on the platform. These entities are reportedly operating nine Telegram channels with more than five million subscribers to whom they were making recommendations on selected listed scrips. Such recommendations induced the investors to deal in the said scrips, thereby creating artificial volume and price rise. The SC urges the public to refer to the SC’s I nvestor Alert List before investing. The list contains details of unauthorised websites, investment products, companies and individuals. Members of the public who suspect that they have been approached by unauthorised firms or individuals offering schemes that promise unrealistic returns The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice.
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