icml2008@helsinki.fi

See also: an overview of all co-located meetings and ICML detailed schedule (pdf)

Conference venue: University of Helsinki, Main building, Fabianinkatu 33

ICML schedule at a glance

Sunday July 6, 2008
Breakfast in hotel
8:00 am - Registration (1st [ground] floor)
8:30 am - 8:45 am Opening (S1, 2nd floor)
8:45 am - 9:45 am Invited Talk: John Winn, Microsoft Research Cambridge: Probabilistic models for understanding images (S1, 2nd floor)
9:45 am - 10:15 am Coffee Break (2nd, 3rd & 4th floors)
10:15 am - 11:55 am Kernels (S1, 2nd floor): Papers #377 #277 #216 #643
Clustering (S5, 3rd floor): Papers #628 #196 #236 #168
Hidden Markov Models (S12, 3rd floor): Papers #182 #305 #413 #679
Reinforcement Learning 1 - Domain Representation (S13, 3rd floor): Papers #571 #544 #682 #580
Graphs (SH, 4th floor): Papers #379 #681 #565 #396
12:00 pm - 1:30 pm Lunch (on your own)
1:30 pm - 3:10 pm Active Learning, Experimental Design and Incomplete Data (S1, 2nd floor): Papers #324 #437 #687 #272
Distance Learning and Efficient Use (S5, 3rd floor): Papers #215 #178 #400 #340
Optimization (S12, 3rd floor): Papers #327 #461 #497 #260
Reinforcement Learning 2 - Value Representation and Online Learning (S13, 3rd floor): Papers #341 #125 #317 #242
Mixture Models, Dirichlet Processes (SH, 4th floor): Papers #460 #538 #554 #502
3:10 pm - 3:40 pm Coffee Break (2nd, 3rd & 4th floors)
3:40 pm - 5:45 pm Award Paper Joint Session (S1, 2nd floor)
Papers: #xxx #588 #627 #266 #452
6:00 pm - 8:30 pm Poster Session I (2nd & 3rd floors, with snacks): Posters from sessions Kernels (Sun 10:15 am) upto and including Sequence Data (Mon 1:30 pm)
Monday July 7, 2008
Breakfast in hotel
8:00 am - Registration (1st [ground] floor)
8:30 am - 9:30 am Invited Talk: Luc De Raedt, Katholieke Universiteit Leuven: Logical and Relational Learning Revisited (S1, 2nd floor)
9:30 am - 10:00 am Coffee Break (2nd, 3rd & 4th floors)
10:00 am - 12:05pm Structured Output, ILP and Sparsity (S1, 2nd floor): Papers #402 #279 #530 #237 #503
Kernel - Including Kernel Learning (S5, 3rd floor): Papers #158 #665 #531 #449 #641

Ranking and Bayes Optimal Classification (S12, 3rd floor): Papers #489 #343 #392 #448 #455
Reinforcement Learning 3 (S13, 3rd floor): Papers #259 #488 #335 #257
Semi-supervised Learning - Embeddings and Transduction (SH, 4th floor): Papers #611 #382 #296 #254 #383
12:05 pm - 1:30 pm Lunch (on your own)
1:30 pm - 3:35 pm Gaussian Processes (S1, 2nd floor): Papers #151 #241 #599 #371 #399
Sequence Data (S5, 3rd floor): Papers #278 #318 #440 #180 #160
Feature Selection and Sparsity (S12, 3rd floor): Papers #630 #574 #390 #113 #323
Reinforcement Learning 4 - Active Learning (S13, 3rd floor): Papers #290 #487 #490 #479 #519
Semi-supervised Clustering and Classification (SH, 4th floor): Papers #337 #432 #172 #145 #528
3:35 pm - 4:05 pm Coffee Break (2nd, 3rd & 4th floors)
4:05 pm - 5:05 pm Invited talk: Michael Collins, MIT: Structured Prediction Problems in Natural Language Processing (S1, 2nd floor)
5:05 pm - 5:45 pm Break, leave for boats
5:45 pm - 6:45 pm Boats leave to Suomenlinna from the Marquet Square
7:00 pm - 10:30 pm Conference Banquet
Tuesday, July 8, 2008
Breakfast in hotel
8:00 am - Registration (1st [ground] floor)
8:30 am - 10:10 am Discriminative vs Generative, and Energy-Based Learning (S1, 2nd floor): Papers #415 #601 #573 #638
Boosting (S5, 3rd floor): Papers #676 #331 #362 #258
Compressed Sensing and Projections (S12, 3rd floor): Papers #121 #209 #459 #361
Reinforcement Learning 5 (S13, 3rd floor): Papers #581 #652 #645 #111
Ranking and IR (SH, 4th floor): Papers #167 #179 #470 #264
10:10 am - 10:40 am Coffee Break (2nd, 3rd & 4th floors)
10:40 am - 12:20 pm Topic models (S1, 2nd floor): Papers #562 #419 #667 #129
Embeddings 1 (S5, 3rd floor): Papers #163 #484 #551 #600
Classification with Sampling, Costs (S12, 3rd floor): Papers #523 #614 #632 #150
Reinforcement Learning 6 (S13, 3rd floor): Papers #458 #564 #197 #429
Online learning (SH, 4th floor): Papers #367 #322 #355 #511
12:20 pm - 2:00 pm Lunch (on your own)
2:00 pm - 4:05 pm NLP (S1, 2nd floor): Papers #304 #391 #398 #311 #673
Multiple Instance Learning, Missing Features, Categorical Features (S5, 3rd floor): Papers #130 #552 #587 #202 #536
Embeddings 2 (S12, 3rd floor): Papers #270 #668 #312 #582 #592
Transfer Learning and Games (S13, 3rd floor): Papers #412 #520 #229 #542 #655
Kernels - Including scalability (SH, 4th floor): Papers #166 #411 #491 #476 #513
4:05 pm - 4:35 pm Coffee Break (2nd, 3rd & 4th floors)
4:35 pm - 5:35 pm Invited Talk: Andrew Ng, Stanford University: STAIR: The STanford Artificial Intelligence Robot project (S1, 2nd floor)
5:40 pm - 6:30 pm Business Meeting (S1, 2nd floor)
6:00 pm - 8:30 pm Poster Session II (2nd & 3rd floors, with snacks): Posters from sessions Feature selection and sparsity (Mon 1:30 pm) upto and including Kernels - Including scalability (Tue 2:00 pm).