4 papers
On the Robustness of Sparse Randomized Sketching to FP16 Rounding on GPUs
Aryaman Jeendgar, Clément Flint, Hartwig Anzt
Randomized sketching replaces large matrices with smaller surrogates that preserve geometry for downstream numerical linear algebra. Sparse sketches promise faster formation than d…
CVXPY 1.9: Recent Advances in Optimization Modeling Software
William Zhang, Parth Nobel, Aryaman Jeendgar +3
CVXPY is a Python-embedded domain-specific language for convex optimization that lets users express problems in mathematical notation while the system verifies convexity and reduce…
Preconditioning via Randomized Range Deflation (RandRAND)
Oleg Balabanov, Caleb Ju, Kaiwen He +2
We introduce RandRAND, a new class of randomized preconditioning methods for large-scale linear systems. RandRAND deflates the spectrum via efficient orthogonal projections onto ra…
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks
Aryaman Jeendgar, Tanmay Devale, Soma S Dhavala +1
Mining large datasets and obtaining calibrated predictions from tem is of immediate relevance and utility in reliable deep learning. In our work, we develop methods for Deep neural…