Center for Intelligent Systems, UC Berkeley

Center for Intelligent Systems Seminar (CS298-10)

FALL 2008 Schedule

Coordinated by: Charles Sutton

Sept 25	Jitendra Malik Dan Klein UC Berkeley	Two half-hour talks about the current research in their groups.
Oct 2 in 306 Soda	Eugene Charniak Brown University	Statistical Parsing Fifteen Years Later
Oct 9 in 306 Soda	Eugene Charniak Brown University	EM Works for Pronoun-Anaphora Resolution
Oct 16	Rich Zemel University of Toronto	Learning image segmentation and recognition with weakly labeled data
Oct 23	Ambuj Tewari Toyota Technological Institute	On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Oct 30	Simon Lacoste-Julien UC Berkeley	Discriminative Methods with Structure (Dissertation Talk)
Nov 6 in Soda 306	Moises Goldszmidt Microsoft Research	Predicting performance problems in data centers
Nov 12 noon	William Provancher University of Utah	Communicating direction via tactile feedback
Nov 13	Russ Tedrake MIT	Optimizing Locomotion: Learning Control at Intermediate Reynolds Number
Nov 27	Thanksgiving
Dec 4	Tamir Hazan The Hebrew University of Jerusalem

SPRING 2008 Schedule

Coordinated by: Sasha Rakhlin

Jan 24	Isabelle Guyon Clopinet	Causation and Prediction Challenge
Feb 07	Sylvain Arlot Université Paris-Sud	V-fold penalization: an alternative to V-fold cross-validation
Feb 14	Susan Holmes Stanford University	Horseshoes and Dichotomies: Finding the hidden variables
Feb 19	Sridhar Mahadevan University of Massachusetts, Amherst	Representation Discovery Using Harmonic Analysis
Feb 28	Michael Bowling University of Alberta	AI After Dark: Computers Playing Poker
Mar 06	Peter Grunwald CWI Amsterdam	Suboptimality of Bayesian Inference When the Model Is Wrong
Mar 27	Spring Break
Apr 03	Hang Li Microsoft Research	Learning to Rank - From Pairwise Approach to Listwise Approach
Apr 10	Eyal Amir UIUC	Reinventing Partially Observable Reinforcement Learning
Apr 17	Olivier Chapelle Yahoo! Research	Optimization techniques for Support Vector Machines
Apr 24	Sanjoy Dasgupta UCSD	Random Projection Trees and Low Dimensional Manifolds
May 01	Elad Hazan IBM Research, Almaden	Adaptive Algorithms for Online Convex Optimization
May 08	Andrew Y. Ng Stanford University	STAIR: The STanford Artificial Intelligence Robot project
May 15	Mark Johnson Brown University	Learning Rules with Adaptor Grammars
May 29	Taesup Moon Stanford University	Discrete Denoising with Shifts

FALL 2007 Schedule

Oct 04	Andrew Barron and Cong Huang Yale University	A simple algorithm for fast and accurate L1-penalized least squares
Oct 11	Shahar Mendelson Australian National University and Technion	Reconstruction and subgaussian processes
Oct 18	Phil Long Google Research	Boosting the Area Under the ROC Curve
Oct 25	Ambuj Tewari UC Berkeley	Low Regret Algorithms for Multi-armed Bandits and MDPs
Nov 1	Stuart Russell UC Berkeley	State estimation for neurocritical care patients
Nov 8	Guy Lebanon Purdue University	Sequential Document Visualization
Nov 15	Gal Elidan Stanford University	Learning Bounded Treewidth Bayesian Networks
Nov 22	Thanksgiving
Nov 29	Francis Bach Ecole Normale Superieure / INRIA	Consistency of the group Lasso and multiple kernel learning

Spring 2007

Coordinated by: Fei Sha on behalf of Stuart Russell

May 17 405 Soda	XuanLong Nguyen UC Berkeley	Surrogate loss functions, divergences and decentralized detection
May 10	Barbara Engelhardt UC Berkeley	Predicting protetin molecular function
May 3	Pieter Abbeel Stanford	Apprenticeship learning for robotic control, with application to autonomous helicopter flight
April 19	Eric Xing CMU	Statistical network analysis and inference: methods and applications
April 12	Vladimir Koltchinksii Georgia Tech	Oracle inequalities in sparse learning problems
March 22	Sven Koenig U. of Southern California	Market Mechanisms for Agent Coordination
March 15	Gilles Blanchard Fraunhofer FIRST (IDA)	Occam's Hammer: a common perspective over randomized estimation and FDR control in multiple testing
March 1	Brent Gillespie U. of Michigan	Care and Feeding of the Internal Model
Feb. 22	Yun Song UC (Davis)	TBA (This is a faculty candidate talk. Location in 306 Soda)
Feb. 15	Rodrigo de Salvo Braz UIUC	First-order Probabilistic Inference
Feb. 8	Seyoung Kim UC(Irvine)	Hierarchical Dirichlet Processes for modeling fMRI brain activation patterns
Feb. 1	Ofer Dekel The Hebrew University of Jerusalem	Learning multiple online tasks with a global objective

Related Research Groups

Ruzena Bajcsy and CITRIS.

Peter Bartlett's Research Group.

John Canny's Research Group.

Ron Fearing's Research Group.

Jerry Feldman's Research Group.

Laurent El Ghaoui's Research Group.

Ken Goldberg's Research Group.

Tom Griffiths's Computational Cognitive Science Lab

Marti Hearst's Research Group.

Michael Jordan's Research Group.

Dan Klein's Research Group.

Computer Vision Group, led by Jitendra Malik and David Forsyth.

Speech Group in ICSI, led by Nelson Morgan.

RUGS, Stuart Russell's research group.

Shankar Sastry's Research Group.

Martin J. Wainwright's Research Group

Robert Wilensky's Research Group.

Lotfi Zadeh's Research Group.

RAD Lab: Reliable Adaptive Distributed systems Laboratory

UCB Robotics and Intelligent Machines Lab.

Miscellaneous Resources

Other seminars in the Computer Science Division.

Upcoming UC Berkeley CS Seminars.

ICSI Talks and ICSI Theory Seminar.

SIMS Seminar Schedule.

Center for The Study of Language And Information (Stanford).

Broad Area Colloquium (Stanford)

SRI's AI Seminar Series.

UC Berkeley's Electronic Systems Design (ESD) Seminar Series.

Institute for Cognitive and Brain Sciences at UC Berkeley.