27 citations · 57 across the 10 of their papers we have counts for
3 papers · 1 filter
Stochastic Optimization Under Power-Law Spectra: Tight Bounds and Shuffling Analysis
Thomas Dybdahl Ahle, Yaroslav Bulatov, Christopher De Sa +1
Recent work has established that power-law spectral conditions on data enable tight convergence bounds for deterministic gradient descent, resolving the conflict between classical…
Favour: FAst Variance Operator for Uncertainty Rating
Thomas D. Ahle, Sahar Karimi, Peter Tak Peter Tang
Bayesian Neural Networks (BNN) have emerged as a crucial approach for interpreting ML predictions. By sampling from the posterior distribution, data scientists may estimate the unc…
Clustering the Sketch: A Novel Approach to Embedding Table Compression
Henry Ling-Hei Tsang, Thomas Dybdahl Ahle
Embedding tables are used by machine learning systems to work with categorical features. In modern Recommendation Systems, these tables can be very large, necessitating the develop…