CONFERENCE SCHEDULE

 

Welcome Day - Tuesday June 12

18:00-21:00

Reception

Note: At 18.00, STOC has scheduled the Knuth Prize Lecture by Nancy Lynch. Attendance is open to all Colt registrants

 


Day 1 - Wednesday June 13

08:00-08:30 Breakfast

Session: Unsupervised, Semisupervised and Active Learning I (chair: A. Tsybakov)

08:30-08:55

Minimax Bounds for Active Learning
Rui M. Castro, Robert D. Nowak

08:55-09:20

Stability of k-Means Clustering
Shai Ben-David, David Pal, Hans Ulrich Simon

09:20-09:45

Margin Based Active Learning
Maria-Florina Balcan, Andrei Broder, Tong Zhang

 
09:45-10:10 Coffee

Session: Unsupervised, Semisupervised and Active Learning II (chair: A. Klivans)

10:10-10:35

Learning Large-Alphabet and Analog Circuits with Value Injection Queries
Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin

10:35-11:00

Teaching Dimension and the Complexity of Active Learning
Steve Hanneke

11:00-11:25

Multi-View Regression via Canonical Correlation Analysis
Sham M. Kakade, Dean P. Foster

 
11:30-12:30

FCRC Plenary talk: Avi Wigderson The Art of Reduction

 
12:30-13:30 Lunch

Session: Statistical Learning Theory (chair: P. Long)

13:30-13:55

Aggregation by exponential weighting and sharp oracle inequalities
Arnak S. Dalalyan, Alexandre B. Tsybakov

13:55-14:20

Occam's Hammer
Gilles Blanchard, Francois Fleuret

14:20-14:45

Resampling-based confidence regions and multiple tests for a correlated random vector
Sylvain Arlot, Gilles Blanchard, Etienne Roquain

14:45-15:10

Suboptimality of Penalized Empirical Risk Minimization in Classification
Guillaume Lecue

15:10-15:35

Transductive Rademacher Complexity and its Applications
Ran El-Yaniv, Dmitry Pechyony

 
15:35-16:00 Coffee

Session: Inductive Inference (chair: M. Hutter)

16:00-16:25

U-Shaped, Iterative, and Iterative-with-Counter Learning
John Case, Samuel E. Moelius III

16:25-16:50

Mind Change Optimal Learning of Bayes Net Structure
Oliver Schulte, Wei Luo, Russell Greiner

16:50-17:15

Learning Correction Grammars
Lorenzo Carlucci, John Case, Sanjay Jain

17:15-17:40

Mitotic Classes
Sanjay Jain, Frank Stephan

 


Day 2 - Thursday June 14

08:00-08:30 Breakfast

Session: Online and Reinforcement Learning I (chair: A. Blum)

08:30-08:55

Regret to the Best vs. Regret to the Average
Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman

08:55-09:20

Strategies for prediction under imperfect monitoring
Gabor Lugosi, Shie Mannor, Gilles Stoltz

09:20-09:45

Bounded Parameter Markov Decision Processes with Average Reward Criterion
Ambuj Tewari, Peter L. Bartlett

 
09:45-10:10 Coffee

Session: Online and Reinforcement Learning II (chair: A. Kalai)

10:10-10:35

On-line estimation with the multivariate Gaussian distribution
Sanjoy Dasgupta, Daniel Hsu

10:35-11:00

Generalised Entropy and Asymptotic Complexities of Languages
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin

11:00-11:25

Q-learning with linear function approximation
Francisco S. Melo, M. Isabel Ribeiro

 
11:30-12:30

FCRC Plenary Talk: Guy Steele Designing by Accident

 
12:30-13:30 Lunch

Session: Regularized Learning, Kernel Methods, SVM (chair: S. Ben-David)

13:50-14:15

How Good is a Kernel When Used as a Similarity Measure?
Nathan Srebro

14:15-14:40

Gaps in Support Vector Optimization
Nikolas List, Don Hush, Clint Scovel, Ingo Steinwart

14:40-15:05

Learning Languages with Rational Kernels
Corinna Cortes, Leonid Kontorovich, Mehryar Mohri

15:05-15:30

Generalized SMO-style decomposition algorithms
Nikolas List

 
15:30-16:00

Coffee

 
16:00-17:00

Invited Talk: Dana Ron
Property Testing: A Learning Theory Perspective

Session: Learning Algorithms and Limitations on Learning (chair: R. Servedio)

17:00-17:25

Learning Nested Halfspaces and Uphill Decision Trees
Adam T. Kalai

17:25-17:50

An Efficient Re-scaled Perceptron Algorithm for Conic Systems
Alexandre Belloni, Robert M. Freund, Santosh S. Vempala

17:50-18:15

A Lower Bound for Agnostically Learning Disjunctions
Adam R. Klivans, Alexander A. Sherstov

18:15-18:40 Sketching Information Divergences
Sudipto Guha, Piotr Indyk, Andrew McGregor
 
19:00-21:00 Banquet
 
21:00-22:30 Business Meeting
 
22:30-23:30 Open Problem Session

 


Day 3 - Friday June 15

08:00-08:45 Breakfast

Session: Online and Reinforcement Learning III (chair: S. Dasgupta)

08:45-09:10

Competing with stationary prediction strategies
Vladimir Vovk

09:10-09:35

Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Peter Auer, Ronald Ortner, Csaba Szepesvari

09:35-10:00

Learning permutations with exponential weights
David P. Helmbold, Manfred K. Warmuth

 
10:00-10:30 Coffee

Session: Online and Reinforcement Learning IV (chair: G. Stoltz)

10:30-10:55

Multitask Learning with Expert Advice
Jacob Abernethy, Peter Bartlett, Alexander Rakhlin

10:55-11:20

Online Learning with Prior Knowledge
Elad Hazan, Nimrod Megiddo

 
11:30-12:30

FCRC Plenary Talk: Edward Lazowska Computer Science: Past, Present, and Future

 
12:30-13:30 Lunch

Session: Dimensionality Reduction (chair: C. Gentile)

13:50-14:15

Nonlinear Estimators and Tail Bounds for Dimension Reduction in l_1 Using Cauchy Random Projections
Ping Li, Trevor J. Hastie, Kenneth W. Church

14:15-14:40

Sparse density estimation with l_1 penalties
Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp

14:40-15:05

l_1 Regularization in Infinite Dimensional Feature Spaces
Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu

15:05-15:30

Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
Sivan Sabato, Shai Shalev-Shwartz

 
15:30-16:00 Coffee
 
16:00-17:00

Invited Talk: Santosh Vempala
Spectral Algorithms for Learning and Clustering

Session: Other Approaches (chair: N. Bshouty)

17:00-17:25

Observational Learning in Random Networks
Julian Lorenz, Martin Marciniszyn, Angelika Steger

17:25-17:50

The Loss Rank Principle for Model Selection
Marcus Hutter

17:50-18:15

Robust Reductions from Ranking to Classification
Maria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin

 
21:00-22:30 Impromptu Session