All sources cited or reviewed

This is a list of all sources we have used in the TransferLab, with links to the referencing content and metadata, like accompanying code, videos, etc. If you think we should look at something, drop us a line

### References

[Wan22D]

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning,

[Abb22A]

Approximate weighted model integration on DNF structures,

[Ang22L]

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control,

[Bar22C]

Conformal prediction beyond exchangeability,

[Ain22G]

Git Re-Basin: Merging Models modulo Permutation Symmetries,

[Cha22N]

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting,

[Maz22L]

LUCID: Exposing Algorithmic Bias through Inverse Design,

[Ang22C]

Conformal Risk Control,

[Her22P]

Prompt-to-Prompt Image Editing with Cross Attention Control,

[Hen22P]

The probabilistic model checker Storm,

[Bav22E]

Efficient Training of Language Models to Fill in the Middle,

[Mut22R]

Robust Solutions for Multi-Defender Stackelberg Security Games,

[Xie22N]

Neuro-Symbolic Verification of Deep Neural Networks,

[Lop17R]

Revisiting Classifier Two-Sample Tests,

[Bul22N]

Network Creation with Homophilic Agents,

[Mos22T]

Tessellation-Filtering ReLU Neural Networks,

[Yan22C]

On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics,

[Pha22C]

Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro,

[Hum22R]

Robust Kernel Density Estimation with Median-of-Means principle,

[Jan22P]

Planning with Diffusion for Flexible Behavior Synthesis,

[Mct22F]

Fast Sparse Decision Tree Optimization via Reference Ensembles,

[Str22R]

Reward-Weighted Regression Converges to a Global Optimum,

[Wu22D]

DAVINZ: Data Valuation using Deep Neural Networks at Initialization,

[Lec22A]

A Path Towards Autonomous Machine Intelligence,

[Bel22I]

It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy,

[Alb22C]

Counterfactual Shapley Additive Explanations,

[Din22V]

Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection,

[Sem22E]

On the Existence of Simpler Machine Learning Models,

[Luo22L]

Local Calibration: Metrics and Recalibration,

[Nak22W]

WebGPT: Browser-assisted question-answering with human feedback,