Upcoming Events

Colloquium: Hamiltonian Descent Methods

Wed, Nov 7, 2018, 4:00 pm

We propose a family of optimization methods that achieve linear convergence using first-order gradient information and constant step sizes on a class of convex functions much larger than the smooth and strongly convex ones. This larger class includes functions whose second derivatives may be singular or unbounded at their minima.

Location: Computer Science Building Lecture Hall 104

Graduate Certificate Information Session

Thu, Nov 8, 2018, 12:00 pm

Open to anyone interested in learning more about CSML's Graduate Certificate Program.  CSML Director Peter Ramadge will be available to answer questions.

Location: 26 Prospect Ave, Princeton NJ

Events Archive

Fundamentals of Deep Learning for Computer Vision with NVIDIA

This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud.

Location: PCTS, 407 Jadwin Hall

Seminar: Latent statistical structure in large-scale neural data: how to find it, and when to believe it

One central challenge in neuroscience is to understand how neural populations represent and produce the remarkable computational abilities of our brains.  Indeed, neuroscientists increasingly form scientific hypotheses that can only be studied at the level of the neural population, and exciting new large-scale datasets have followed. ...

Location: Friend Center, Room 006

Princeton Day of Optimization

For its inaugural edition, the Princeton Day of Optimization will gather researchers whose work is at the intersection of optimization, control, and machine learning. The workshop aims to investigate the creative symbioses that arise when researchers consider problems at the interface...

Location: McDonnell Hall A02

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