3 papers
stat.ML2024
Building Conformal Prediction Intervals with Approximate Message Passing
Lucas Clarté, Lenka Zdeborová
Conformal prediction has emerged as a powerful tool for building prediction intervals that are valid in a distribution-free way. However, its evaluation may be computationally cost…
cond-mat.dis-nn2024
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba, Emanuele Troiani, Luca Biggio +2
Current progress in artificial intelligence is centered around so-called large language models that consist of neural networks processing long sequences of high-dimensional vectors…
cs.IT2024
The phase diagram of compressed sensing with -norm regularization
Damien Barbier, Carlo Lucibello, Luca Saglietti +2
Noiseless compressive sensing is a two-steps setting that allows for undersampling a sparse signal and then reconstructing it without loss of information. The LASSO algorithm, base…