Matthew X. Burns

Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization

Analog dynamical accelerators (DXs) are a growing sub-field in computer architecture research, offering order-of-magnitude gains in power efficiency and latency over traditional digital methods in several machine learning, optimization, and sampling tasks. However, limited-capacity accelerators requ…