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- A Primer on PAC-Bayesian Learning 2
- Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks 2
- Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound 2
- A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings 1
- An end-to-end data-driven optimisation framework for constrained trajectories 1
- Asymptotically optimal parallel resource assignment with interference 1
- Cluster-Specific Predictions with Multi-Task Gaussian Processes 1
- Clustering of Solar Irradiance 1
- Covid-19 and AI: Unexpected Challenges and Lessons 1
- Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles 1
- Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks 1
- Estimates of discrete time derivatives for the parabolic-parabolic Robin-Robin coupling method 1
- Estimation of the battery state of charge: A Switching Markov State-Space Model 1
- Forecasting elections results via the voter model with stubborn nodes 1
- From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning 1
- Kernel-Based Ensemble Learning in Python 1
- Learning PAC-Bayes Priors for Probabilistic Neural Networks 1
- MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean 1
- MMD Aggregated Two-Sample Test 1
- Modular Language Composition for the Masses 1
- Non-linear aggregation of filters to improve image denoising 1
- Novel algorithm using Active Metamodel Learning and Importance Sampling: application to multiple failure regions of low probability 1
- On Margins and Derandomisation in PAC-Bayes 1
- Online $k$-means Clustering 1
- PAC-Bayes Un-Expected Bernstein Inequality 1
- PAC-Bayes unleashed: generalisation bounds with unbounded losses 1
- PAC-Bayesian Bound for the Conditional Value at Risk 1
- PAC-Bayesian Contrastive Unsupervised Representation Learning 1
- Progress in Self-Certified Neural Networks 1
- Revisiting Visitors for Modular Extension of Executable DSMLs 1
- Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly 1
- Still no free lunches: the price to pay for tighter PAC-Bayes bounds 1
- Towards control of opinion diversity by introducing zealots into a polarised social group 1
- Upper and Lower Bounds on the Performance of Kernel PCA 1