Upcoming Events

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Events Archive

Joint PACM-CSML Colloquium

A core problem in statistics and machine learning is to approximate difficult-to-compute probability distributions. This problem is especially important in probabilistic modeling, which frames all inference about unknown quantities as a calculation about a conditional distribution.

Location: 214 Fine Hall

CS Colloquium Series: Bo Wang - Machine Learning Algorithms for Exploiting Spectral Structures of Biological Networks

Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from populations to a single cell.  How to extract and understand non-trivial topological features and structures inherent in the networks is critical to understanding interactions within complicated biological systems.

Location: Computer Science Small Auditorium (Room 105)

Princeton Computer Science: Jeff Dean - Deep Learning to Solve Challenging Problems

Deep Learning to Solve Challenging Problems - Jeff Dean, from Google Research

Location: Friend Center 101

Q-APS and CSML host Duke University's Professor Peter Hoff

co-sponsored with The Program for Quantitative and Analytical Political Science (Q-APS) and Department of Politics.  

Location: Corwin Hall room 127
Speaker(s):

Undergraduate Certificate - Dinner with a Professor

*Invitation Only*  

CSML will be hosting an invitation only Dinner with a Professor event.  This is your opportunity to ask a favorite professor or advisor to come to a sit-down dinner at Prospect House.

Location: 26 Prospect Ave, Princeton NJ

CSML Sophomore Open House

Come learn more about the CSML Undergraduate Certificate Program.  CSML director, Professor Ramadge and Academic Program Coordinator, Susan Johansen will be available to answer questions as well as current undergrads enrolled in the program. Hope to see you there!

Location: 26 Prospect Ave, Princeton NJ

How to get a Job in Machine Learning

Ready to shift gears? Interested in a career in machine learning? Unsure how to get started? Attend DataDebut event "How to get a job in machine learning!" The talk will be given by Ji-Sung Kim ('19), who is currently a visiting researcher at Google Research and will be working at DeepMind this upcoming summer.

Location: CSML 26 Prospect Ave, Classroom 103

Undergraduate Certificate - Final Independent Work Title and Abstract Due

Deadline for Final Independent Work Title and Abstract Due.  Advisor sign-off form required.

Location: 26 Prospect Ave, Princeton NJ

The Mathematical Theory of Deep Neural Networks

Recent advances in deep networks, combined with open, easily-accessible implementations, have moved the fields empirical results far faster than formal understanding. The lack of rigorous analysis for these techniques limits their use in addressing scientific questions in the physical and biological sciences, and prevents systematic design of...

Location: Princeton Neuroscience Institute, Lecture Hall A32

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