Bayesian multimodeling

Form. Deadline: 25 Feb, 15.50

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