Guanyang Wang (@guanyangw) 's Twitter Profile
Guanyang Wang

@guanyangw

Assistant professor of statistics @RutgersU, former Ph.D of math @Stanford, undergrad of math @USTC.

ID: 1280029832206708737

linkhttp://guanyangwang.github.io calendar_today06-07-2020 06:44:36

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Monte Carlo Seminar (@onlinemcseminar) 's Twitter Profile Photo

📢Join our next talk by Saif Syed: Scalable sampling of multi-modal distributions using sequential Monte Carlo samplers 🗓️ Mar 25 | 9:30am PT • 12:30pm ET • 4:30pm London 📍Zoom us06web.zoom.us/j/82032740738?… 🎬Youtube youtube.com/@MonteCarloSem… 📧Mailinglist groups.google.com/u/0/g/internat…

Monte Carlo Seminar (@onlinemcseminar) 's Twitter Profile Photo

📢 Upcoming Talk Alert! 🎤 Yuchen Wu (UPenn) 📌 Title: Theoretical Advances in Diffusion Models 🗓️ When: April 1st 8:30 am PT | 11:30 am ET | 4:30 pm London | 5:30 pm Paris | 11:30 pm Beijing 👉 Zoom: us06web.zoom.us/j/82032740738?… 📅 YouTube: youtube.com/@MonteCarloSem…

Monte Carlo Seminar (@onlinemcseminar) 's Twitter Profile Photo

🎙️ Monte Carlo Online Seminar 📅 Tuesday, April 15, 2025 🕣 8:30am PT | 11:30am ET | 4:30pm London | 5:30pm Paris | 11:30pm Beijing 👩‍🏫 Dootika Vats (IIT Kanpur) 📌 MCMC Importance Sampling via Moreau-Yosida Envelopes 🔗 Zoom: us06web.zoom.us/j/82032740738?… #Bayesian #MCMC #optimization

Monte Carlo Seminar (@onlinemcseminar) 's Twitter Profile Photo

🎙️ Talk on April 29, 2025: Yuexi Wang (UIUC) "Optimal Transport-Based Generative Models for Bayesian Posterior Sampling" 8:30am PT | 11:30am ET | 4:30pm London | 5:30pm Paris Learn how OT maps enable efficient posterior sampling and new Bayesian inference tools!

Monte Carlo Seminar (@onlinemcseminar) 's Twitter Profile Photo

Next Talk!! 📅 Tuesday, May 13, 2025 ⏰ 8:30 am PT | 11:30 am ET | 4:30 pm London | 5:30 pm Paris | 11:30 pm Beijing Speaker: Ning Ning (Texas A&M) Title: “Convergence of Dirichlet forms for MCMC optimal scaling with dependent target distributions on large graphs”

Qiyang Han (@royhan0611) 's Twitter Profile Photo

We performed some explicit computations for the training dynamics of gradient descent in what we call the “finite width proportional regime”. The main technical tool is an entrywise state evolution theory for a class of general first order methods developed in a previous work.

Sam Power (@sp_monte_carlo) 's Twitter Profile Photo

Starting from last October, we (Monte Carlo Seminar, sites.google.com/view/monte-car…) have been running an online seminar on all aspects of Monte Carlo methods, with about ~30 talks so far. We are currently paused for the summer, expecting to return in September 2025.

Starting from last October, we (<a href="/OnlineMCSeminar/">Monte Carlo Seminar</a>, sites.google.com/view/monte-car…) have been running an online seminar on all aspects of Monte Carlo methods, with about ~30 talks so far. We are currently paused for the summer, expecting to return in September 2025.
Sam Power (@sp_monte_carlo) 's Twitter Profile Photo

In the interim, I wanted to advertise our YouTube channel - youtube.com/@montecarlosem… - which contains recordings for the bulk of our talks so far (sites.google.com/view/monte-car…, sites.google.com/view/monte-car…). I encourage you to catch up and enjoy them over the intervening months!