FALL 2013 SCHEDULE
DATE | SPEAKER | TITLE | ||
---|---|---|---|---|
September 3 | Andy Konwinski (Berkeley) | AMP Camp 3 Reflections | ||
September 10 | Ben Recht (Berkeley) | Challenging Problems in ML/Systems Research | ||
September 17 | Rachit Agarwal (Berkeley) | Dwarf Lantern: Small “Shark” that Glows! | ||
September 24 | Christos Kozanitis (Berkeley) | Querying the genome with Genome Query Language | ||
October 1 | Jennifer Neville (Purdue) | Machine learning methods for diagnosis, maintenance, and repair of data. | ||
October 8 | Daniel Crankshaw (Berkeley) | How Do Astronomers Use Databases? | ||
October 15 | Sebastien Bubeck (Princeton) | Optimal discovery with probabilistic expert advice | ||
Spring 2013 Schedule
Date | Speaker | Title | ||
---|---|---|---|---|
January 29 | Andy Konwinski | Developing flexible, scalable schedulers for large compute clusters | ||
February 5 | Gene Pang | MDCC/MDCL | ||
February 12 | Jun Suzuki | Integrating SSDs in Database Systems | ||
February 19 | Shankari Kalyanaraman | VMOps: Automatically recommending VM sizing and resource settings in the cloud | ||
March 5 | Barret Rhoden | Akaros: an OS for Datacenter Nodes | ||
March 12 | Tim Hunter | Arriving on time: estimating travel time distributions on large-scale road networks | ||
March 19 | Kai Sachs | Current trends and new challenges in Benchmark Research | ||
April 2 | Pradeep Padala | Automated Scaling of Multi-tier Applications using Reinforcement Learning | ||
April 9 | John Duchi | Local Privacy and Statistical Minimax Rates | ||
April 16 | Evan Sparks | MLBase update | ||
April 23 | Adam Oliner | Carat update | ||
April 30 | Kay Ousterhout | Tiny Task |
Fall 2012 Schedule
Date | Speaker | Title | ||
---|---|---|---|---|
September 11 | Tim Kraska | DMX: A Distributed Machine-learning System | ||
September 18 | Liwen Sun | Arnold: Declarative Crowd-Machine Data Integration | ||
September 25 | Patrick Wendell | Selling Big Data: Perspectives from a Summer in Enterprise Software Sales | ||
October 2 | Sara Alspaugh | Towards a Data Analysis Recommendation System | ||
October 9 | Marti Hearst | Crowd sourcing Prior Art Search | ||
October 16 | Mosharaf Chowdhury | Network-Balanced Distributed File Systems | ||
October 23 | Aurojit Panda | The Network Strikes Back: The Case for Separating Storage from Computation in Datacenters | ||
October 30 | Yuchen Zhang | Communication-efficient Algorithms for Convex Optimization | ||
November 6 | Dave Pellerin | Spot Pricing on EC2 | ||
November 13 | Dave Patterson | Fighting the Big C with the Big D | ||
November 20 | John Canny | Squaring the Cloud: Superlinear Cluster Speedups by Single Node Enhancements |