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). | |