ICML 2022 Attendance Plans

Works by notable people:

Michael Jordan
- Image-to-image regression with UQ Poster 6:30 Tuesday
Yoshua Bengio
- GFlowNets Poster 6:30 Tuesday
- MAgNet PDE solver AI for science workshop Saturday
- Biological sequence design with GFLowNets Poster 6:30 Wednesday Hall E #115
Yann LeCun
- What do we maximize in self-supervised learning? Poster, pretraining workshop Saturday
William Stafford Noble
- Mass spectrometry peptide sequencing transformer model Poster Wednesday 6:30
Dustin Tran
- Uncertainty quantification in deep learning Keynote ML for Astrophysics workshop Friday 1:30pm
- PLEX: toward reliability using large model extensions Poster at PODS workshop, Saturday evening
Madeleine Udell
- Group robustness in the presence of partial group labels Poster at SCIS workshop, Friday evening >6:40
  - Vishnu Lokhande is first author
David Blei
- Optimization-based causal estimation Poster at SCIS workshop, Friday evening >6:40
Aviv Regev
- Design for inference in drug discovery and development Keynote 9am Thursday, Hall F
Guy Van den Broeck
- New computational technologies for reasoning Panel at “Beyond Bayes” workshop, Friday 3:30

Keynote: Weinan E (“Towards a mathematical theory of ML”)
- Hall F
- 9AM - 10AM
10:30am - 12pm Sessions
- Probabilistic methods
  - Ballroom 3 & 4
- deep learning
  - Room 310
1:30pm - 3pm Sessions
- DL Algorithms
  - Ballroom 1 & 2
- Gaussian Processes
  - Room 307
Test of Time Award
- Hall F
- 3:30pm - 4:00pm
4:15 - 5:45 Sessions
- Neuroscience and Cognitive science
  - Rooms 301-303

10:30 - 12 Sessions
- Variational inference
  - Oral talk at 10:30
  - Room 301-303
- Deep learning
  - Oral talk at 11:05
  - Ballroom 1 & 2
1:15 - 2:45 Sessions
- Chemistry and drug discovery
  - Oral at 1:45
  - Hall F
- Bayesian models and methods
  - Oral at 1:15, 2:00
  - Room 301-303
3:15 invited talk: Synthetic control methods and difference in differences
- Guido Imbens, recent Nobel laureate
- econometrics
- Could be very interesting
4:30 sessions
- None of these seem very aligned with my interests. I could go to the job fair/booths at this time

Keynote 9am Thursday, Hall F
- Aviv Regev, Design for inference in drug discovery and development
10:00 sessions
- Physics applications
  - Hall F
  - Oral at 11:05
1:30 sessions
- Self-supervised learning, GNNs
  - Ballrooms 1 & 2
  - Oral at 2:05