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LCI Forum

What and Why? The LCI Forum is our biweekly meeting, at which we discuss LCI matters and group related issues, share AI and other news, and give brief reports from trips and conferences. An integral part of each LCI Forum is a research talk, given by LCI members, associate members, or visitors. Rumor has it, though, that real reason behind their popularity is the food. The LCI Fora provide a great opportunity for meeting other members of the lab, hearing about interesting developments, and finally finding out what the person working at the next desk is really working on ;-) The talks are also great opportunities to practice for conference presentations. Standard LCI Forum talks are 30 minutes long, including questions and discussion; we usually try to give out-of-lab visitors about 45 minutes.

When and Where? LCI Fora run biweekly throughout the academic year and during most of the summer. We hold the forum in the ICICS/CS building, room 146, the LCI meeting space, at 12:00 pm.

2008/2009 Season:

Sept 8 Beginning of year forum: no talk
Sept 22 Jan Ulrich, Email Summarization
Oct 6 Oliver Schulte (SFU), Join Bayes Nets: a new model class for relational data
Oct 20 LCI Student research mini-talks (3 students; 10 min each)
Nov 3 Yoram Halevy (UBC Economics), Outcomes, Intentions and Interdependence
Nov 17 Elan Dubrofsky, Combining Line and Point Correspondences for Homography Estimation
Dec 1 Baharak Rastegari, Stepwise Randomized Combinatorial Auctions Achieve Revenue Monotonicity
Dec 15 Ashish Sabharwal (Cornell), A Quest for Large-Scale Reasoning and Sampling Methods
Winter break
Jan 12 Marius Muja, Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration
Jan 26 Benjamin Marlin, Collaborative Filtering and the Missing at Random Assumption
Feb 9 Peter Carbonetto, Past and future challenges in probabilistic inference
Feb 23 LCI Student research mini-talks (3 students; 10 min each)
Mar 9 Frank Hutter, Model-Based Optimization of Algorithm Parameters
Mar 23 Mark Crowley, Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making
Apr 6 Bethany Leffler, Using Perceptual Data for More Efficient Reinforcement Learning
Apr 20 Student presentations from CPSC 550 (Machine Learning II); may go a bit longer than the hour
May 4 Matt Hoffman, Using inference to solve reinforcement learning and control problems
May 25 Matt Dunham, PMTK: Probabilistic Modeling Toolkit
Jun 8 Jacek Kisynski, Lifted Aggregation in Directed First-order Probabilistic Models
Jun 22 Ashiqur KhudaBukhsh, SATenstein: Automatically Building Local Search SAT Solvers From Components

Signing up for a slot. If you're interested in giving a forum talk, feel free to pick any unscheduled time from the list above and contact Kevin Leyton-Brown. LCI student research mini-talks can also usually be rescheduled if one of those times works best for you.

See schedules and abstracts from previous LCI Fora:

(LCI Fora were held for years, if not decades, before April 2001 when we started listing them on the web.)

Frequently Asked Questions

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