IFML Seminar
IFML Seminar: 04/10/26 - High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression
Abstract: Sparse recovery, i.e., estimating a sparse signal theta* in R^d from few noisy measurements y = Xtheta* + xi, is a central problem in high-dimensional statistics. Recent works [KSTZ25, MW26] have taken an...
Upcoming Events
- April1012:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Sparse recovery, i.e., estimating a sparse signal theta* in R^d from few noisy measurements y = Xtheta* + xi...
- April1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-…
Past Events
- April32 - 3 pm
IFML Seminar
Event DetailsAbstract: In this work, we give a polynomial time and sample complexity algorithm for efficiently learning the parameters of a...
- March1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when...
- March3throughMarch4Event Details
Join Texas Robotics, the Machine Learning Lab, and Good Systems on March 3 & 4 for a two-day symposium exploring...
- February2712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Sampling is a fundamental algorithmic task with many connections to optimization. In this talk, we survey a recent algorithm...
- February2012:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: To assess the ability of current AI systems to correctly answer research-level mathematics questions, we share a set of...
- February1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Particle physicists developed an algorithm called COWs (Customized Orthogonal Weights) for separating signals from backgrounds in certain…
