Program
8:15 - 8:45 | Coffee at the Stata Center |
8:45 | ** Bus Leaves Stata Center ** |
9:45 - 10:00 | Reach Endicott + Breakfast |
10:00 - 10:15 | Welcoming Remarks: Anant Bhardwaj |
10:15 - 11:00 | Conference Keynote: "Twenty Lessons From The Ph.D. Grind" Philip J. Guo |
11:00 - 11:15 | Refreshment Break |
11:15 - 12:15 | Session 1: Biological and Computational Systems, Machine Learning The Benefits of Multi-gene Prognostic Models in Breast Cancer
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
Spatial Patterning with the Rule of Normal Neighbors
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12:15 - 1:15 | Lunch |
1:15 - 2:00 | Invited Talk: Quanta Research |
2:00 - 3:00 | Session 2: Data Mining, Algorithms A Data-driven Method for In-game Decision Making in MLB
Approximation-Tolerant Model-Based Compressive Sensing
Learning a New Family of GMRFs
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3:00 - 3:30 | Poster Session + Refreshment Break Visual Analytics of Media Frames in Online News and Blogs
The Intrinsic Memorability of Face Photographs
Towards Control and Sensing for an autonomous Mobile Robotic Assistant navigating Assembly Lines
Scalable Multi-Access Flash Store for Big Data Analytics
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
A Data-driven Method for In-game Decision Making in MLB
Learning a New Family of GMRFs
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3:30 - 4:20 | Session 3: Systems, HCI, Programming Languages SNARKs for C: Verifying Program Executions Succinctly and in Zero Knowledge
Linguistic Resources & Topic Models for the Analysis of Persian Poems
A Computational Interpretation of Higher Inductive Types: How to Tame Equality in your Types (Short Talk)
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4:20 - 4:30 | Break |
4:30 - 5:15 | Conference Keynote: "MIT's Entry Into The Biggest Robotics Competition Ever" Professor Russ Tedrake |
5:15 - 5:30 | Awards Ceremony and Closing Remarks |
5:30 - 7:00 | Dinner |
7:15 | Leave Endicott |
8:00 | Return to Stata Center |
