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
[Jus23L]
LAVA: Data Valuation without Pre-Specified Learning Algorithms,
[Boe22F]
Flexible and efficient simulation-based inference for models of decision-making,
[Del22R]
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation,
[Glo22V]
Variational methods for simulation-based inference,
[Gre19A]
Automatic Posterior Transformation for Likelihood-Free Inference,
[Her20L]
Likelihood-free MCMC with Amortized Approximate Ratio Estimators,
[Lop17R]
Revisiting Classifier Two-Sample Tests,
[Lue17F]
Flexible statistical inference for mechanistic models of neural dynamics,
[Mil21T]
Truncated Marginal Neural Ratio Estimation,
[Pap18F]
Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation,
[Pap19S]
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows,
[Tal20V]
Validating Bayesian Inference Algorithms with Simulation-Based Calibration,
[Wil23F]
Flow Matching for Scalable Simulation-Based Inference,
[Van21N]
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference,
[Vet24S]
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,
[Liu23S]
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training,
[Rat24C]
Challenges in Training PINNs: A Loss Landscape Perspective,
[Zha24S]
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer,
[Zho23P]
Predictive, scalable and interpretable knowledge tracing on structured domains,
[Cas17I]
Improving polynomial estimation of the Shapley value by stratified random sampling with optimum allocation,
[Gho19D]
Data Shapley: Equitable Valuation of Data for Machine Learning,
[Jia19aE]
Efficient task-specific data valuation for nearest neighbor algorithms,
[Kwo22B]
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning,
[Mal14B]
Bounding the Estimation Error of Sampling-based Shapley Value Approximation,
[Wan23D]
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning,
[Wu23V]
Variance reduced Shapley value estimation for trustworthy data valuation,
[Ton23I]
Improving and generalizing flow-based generative models with minibatch optimal transport,
[And82R]
Reverse-time diffusion equation models,
[Lue21B]
Benchmarking Simulation-Based Inference,