Jack Baskin Engineering

Presenter: Riddhiman Bhattacharya, Postdoc, UCSC Description: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online […]

Presenter: Marcos Calegari Andrade, Assistant Professor, Chemistry and Biochemistry, UC Santa Cruz Description: In this talk, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost, these models enable atomistic simulations of condensed matter […]

Presenter: Denis Titov, Assistant Professor, University of California, Berkeley Description: Cells run thousands of chemical reactions simultaneously, and these reactions must be precisely controlled—like a thermostat that prevents overheating. When […]

Presenter: Anil Damle, Associate Professor, Cornell University Description: The column subset selection problem is a classical topic in numerical linear algebra, with renewed interest driven by applications in computational quantum […]

Presenter: Yu Zhang, Associate Professor, ECE Department of UC, Santa Cruz Description: Modern cyber-physical systems present statistical learning problems that deviate significantly from standard i.i.d. supervised settings. In particular, two […]

Presenter: Peng Ding, Associate Professor, UC Berkeley Description: I will present some recent results on unifying regression-based and design-based causal inference in time-series experiments and crossover experiments. Part I: Time-series experiments, also called switchback experiments or N-of-1 trials, play increasingly important roles in modern applications in medical and industrial areas. Under the potential outcomes framework, […]