- talks - lists.cs.princeton.edu

Colloquium Speaker: Xiang 'Anthony' Chen Today-12:30pm
by Nicole E. Wagenblast 13 Mar '17

13 Mar '17

Colloquium Speaker Xiang 'Anthony' Chen, Carnegie Mellon University Thursday, March 9, 2017 - 12:30pm Computer Science 105 Host: Prof. Szymon Rusinkiewicz Computational Design and Fabrication to Augment the Physical World We are looking towards a future where a wide range of fabrication machines--from desktop 3D printers to industrial robotic arms--will allow end-users to create physical objects of their own designs. I develop computational design tools that enable end-users to … [View More]

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Colloquium Speaker: Shivaram Venkataraman, Monday, March 13- 12:30pm-reminder
by Nicole E. Wagenblast 12 Mar '17

12 Mar '17

Colloquium Speaker Shivaram Venkataraman, University of California, Berkeley Monday, March 13- 12:30pm Computer Science 105 Host: Prof. Andrew Appel Scalable Systems for Fast and Easy Machine Learning Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics. However the end of Moore’s law and the shift towards distributed computing architectures presents many new challenges for building and … [View More]

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Colloquium Speaker: Sauvik Das, Thursday, March 16- 12:30pm
by Nicole E. Wagenblast 10 Mar '17

10 Mar '17

Colloquium Speaker Sauvik Das, Carnegie Mellon University Thursday, March 16- 12:30pm Computer Science 105 Host: Prof. Nick Feamster Social Cybersecurity: Reshaping Security Through An Empirical Understanding of Human Social Behavior Entering an era of pervasive, connected smart things, our cybersecurity decisions increasingly interfere with our social lives. Yet, little is known of the complex social consequences of our security behaviors, and vice versa. Absent this knowledge, it is … [View More]

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Colloquium Speaker: Karthik Narasimhan, Today- 12:30pm
by Nicole E. Wagenblast 10 Mar '17

10 Mar '17

Colloquium Speaker Karthik Narasimhan, Massachusetts Institute of Technology Friday, March 10- 12:30pm Computer Science 105 Host: Barbara Engelhardt Grounding natural language with autonomous interaction The resurgence of deep neural networks has resulted in impressive advances in natural language processing (NLP). However, this success is dependent on access to large amounts of structured supervision, often manually constructed and unavailable for many applications and domains. In this … [View More]

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Colloquium Speaker: Karthik Narasimhan, Friday March 10- 12:30pm- reminder
by Nicole E. Wagenblast 09 Mar '17

09 Mar '17

Colloquium Speaker Karthik Narasimhan, Massachusetts Institute of Technology Friday, March 10- 12:30pm Computer Science 105 Host: Barbara Engelhardt Grounding natural language with autonomous interaction The resurgence of deep neural networks has resulted in impressive advances in natural language processing (NLP). However, this success is dependent on access to large amounts of structured supervision, often manually constructed and unavailable for many applications and domains. In this … [View More]

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Colloquium Speaker: Xiang 'Anthony' Chen Thursday, March 9-12:30pm- Reminder
by Nicole E. Wagenblast 08 Mar '17

08 Mar '17

Colloquium Speaker Xiang 'Anthony' Chen, Carnegie Mellon University Thursday, March 9, 2017 - 12:30pm Computer Science 105 Host: Prof. Szymon Rusinkiewicz Computational Design and Fabrication to Augment the Physical World We are looking towards a future where a wide range of fabrication machines--from desktop 3D printers to industrial robotic arms--will allow end-users to create physical objects of their own designs. I develop computational design tools that enable end-users to … [View More]

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Colloquium Speaker: Shivaram Venkataraman, Monday, March 13- 12:30pm
by Nicole E. Wagenblast 07 Mar '17

07 Mar '17

Colloquium Speaker Shivaram Venkataraman, University of California, Berkeley Monday, March 13- 12:30pm Computer Science 105 Host: Prof. Andrew Appel Scalable Systems for Fast and Easy Machine Learning Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics. However the end of Moore’s law and the shift towards distributed computing architectures presents many new challenges for building and executing … [View More]

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Tengyu Ma will present his Pre FPO "Better understanding of non-convex methods in machine learning" on Monday, March 13, 2017 at 2pm in CS 302
by Nicki Gotsis 07 Mar '17

07 Mar '17

Tengyu Ma will present his Pre FPO on Monday, March 13, 2017 at 2pm in CS 302. The members of his committee are as follows: Sanjeev Arora (Advisor, reader), Elad Hazan (non-reader), Mark Braverman (non-reader), Rong Ge (reader, Duke Univ), David Steurer (reader, IAS/Cornell). Everyone is invited to attend his talk. The talk title and abstract follow below: Title: Better understanding of non-convex methods in machine learning Abstract: Recent breakthroughs in machine learning, … [View More]

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Colloquium Speaker: Dan Ports, Today- 12:30pm
by Nicole E. Wagenblast 06 Mar '17

06 Mar '17

Colloquium Speaker Dan Ports, University of Washington Monday, March 6 - 12:30pm Computer Science 105 Host: Prof. Michael Freedman Rethinking Distributed Systems for the Datacenter Today's most popular applications are deployed as massive-scale distributed systems in the datacenter. Keeping data consistent and available despite server failures and concurrent updates is a formidable challenge. Two well-known abstractions, strongly consistent replication and serializable transactions, can … [View More]

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Colloquium Speaker: Dan Ports, Monday, March 6- 12:30pm -Reminder
by Nicole E. Wagenblast 05 Mar '17

05 Mar '17

Colloquium Speaker Dan Ports, University of Washington Monday, March 6 - 12:30pm Computer Science 105 Host: Prof. Michael Freedman Rethinking Distributed Systems for the Datacenter Today's most popular applications are deployed as massive-scale distributed systems in the datacenter. Keeping data consistent and available despite server failures and concurrent updates is a formidable challenge. Two well-known abstractions, strongly consistent replication and serializable transactions, can … [View More]

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