no code implementations • 30 Jan 2020 • Elad Hazan, Edgar Minasyan
In many online learning problems the computational bottleneck for gradient-based methods is the projection operation.
no code implementations • 8 Jul 2020 • Paula Gradu, Elad Hazan, Edgar Minasyan
Our main contribution is a novel efficient meta-algorithm: it converts a controller with sublinear regret bounds into one with sublinear {\it adaptive regret} bounds in the setting of time-varying linear dynamical systems.
2 code implementations • 12 Feb 2021 • Daniel Suo, Naman Agarwal, Wenhan Xia, Xinyi Chen, Udaya Ghai, Alexander Yu, Paula Gradu, Karan Singh, Cyril Zhang, Edgar Minasyan, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
We consider the problem of controlling an invasive mechanical ventilator for pressure-controlled ventilation: a controller must let air in and out of a sedated patient's lungs according to a trajectory of airway pressures specified by a clinician.
no code implementations • 15 Oct 2021 • Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan
The theory of deep learning focuses almost exclusively on supervised learning, non-convex optimization using stochastic gradient descent, and overparametrized neural networks.
no code implementations • 19 Nov 2021 • Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Mechanical ventilation is one of the most widely used therapies in the ICU.
no code implementations • NeurIPS 2021 • Edgar Minasyan, Paula Gradu, Max Simchowitz, Elad Hazan
On the positive side, we give an efficient algorithm that attains a sublinear regret bound against the class of Disturbance Response policies up to the aforementioned system variability term.