Bayesian multimodeling

Form. Deadline: April 22, 17.50

Projects and project schedule

Score system, Score file

Talk list

Zoom link

TG Link

Yoututbe playlist, spring

Youtube playlist, fall

Plan (Spring 2025)

Date	Topic
11.02	Intro
18.02	Hyperparameter optimization: SMBO
25.02	Technincal meeting 1: project discussion
4.03	Hyperparameter optimization: gradient-based
11.03	Structure selection
18.03	Technincal meeting 2: proof of concept discussion
25.03	Meta-optimization + Genetics
1.04	Knowledge transfer and distillation
8.04	Multi-task learning
15.04	Gaussian processes, SSM
22.04	Model ensembles
29.04	Hierarchical models
6.05	Technical meeting 3: pre-final discussion
13.05	Latent space projection
20.05	Project finalizing, Final scores

Topics to discuss (tentative):

• Gradient flows
• NTK
• Agents

Plan (Fall 2024)

Date	Topic
10.09	Intro
17.09	Distributions, expectation, likelihood
24.09	Bayesian inference, sampling
1.10	Technical meeting
8.10	Complexity
15.10	Var inference
22.10	Var inference 2
31.10	Diffusion models, score matching
5.11	Technical meeting 2
12.11	Generative and discriminative models
19.11	Graphical models
26.11	Technical meeting 3
3.12	Project review
10.12	Technical meeting 4
17.12	Final scores, Gradient flows

Next term plan (tentative):

• Genetics
• Metaoptimization
• Hierarchical models
• Knowledge transfer/distillation
• Model ensembles, Mixture of experts
• Structure priors
• Hyperparameter optimization: SMBO, GD
• NAS
• Transfer learning
• Domain adaptation
• Multitask learning
• SSM
• Agents