schedule
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SATURDAY, December 11
SATURDAY, December 11
13:00 - 13:15
Introduction and motivation (Part 1)
Introduction and motivation (Part 1)
Valentina Breschi & Federico Bianchi
Session 1: System-aware learning
Session 1: System-aware learning
13:15 - 14:00
Taking Advantage of Auxiliary Information in Nonlinear System Identification
Taking Advantage of Auxiliary Information in Nonlinear System Identification
Luis A. Aguirre
14:00 - 14:45
Identification with side information: exploiting information about the region of convergence
Identification with side information: exploiting information about the region of convergence
Roy Smith & Mohammad Khosravi
Coffe break 14:45 - 15:00
Session 2: Risk-aware learning
Session 2: Risk-aware learning
15:00 - 15:45
Achieving Noisy Linear Convergence in CV@R Statistical Learning: SGD, Strongly Convex Losses and Beyond
Achieving Noisy Linear Convergence in CV@R Statistical Learning: SGD, Strongly Convex Losses and Beyond
Dionysios Kalogerias
Session 1 (part 2): System-aware learning
Session 1 (part 2): System-aware learning
15:45 - 16:30
Equivariant Neural Networks for Learning Spatiotemporal Dynamics
Equivariant Neural Networks for Learning Spatiotemporal Dynamics
Rose Yu
16:30 - 17:00
Discussion and Concluding remarks
Discussion and Concluding remarks
Valentina Breschi & Federico Bianchi
sunday, December 12
sunday, December 12
13:00 - 13:15
Introduction and motivation (Part 2)
Introduction and motivation (Part 2)
Valentina Breschi & Federico Bianchi
Session 3: Goal-aware learning
Session 3: Goal-aware learning
13:15 - 14:00
Control-oriented regularization for dynamical system identification
Control-oriented regularization for dynamical system identification
Simone Formentin
Session 4: Human-aware learning for control
Session 4: Human-aware learning for control
14:00 - 14:45
The Role of Representations in Human-Aware Learning and Control
The Role of Representations in Human-Aware Learning and Control
Dorsa Sadigh & Erdem Biyik
Coffe break 14:45 - 15:00
15:00 - 15:45
Feature Expansive Reward Learning: Rethinking Human Input
Feature Expansive Reward Learning: Rethinking Human Input
Andreea Bobu & Marius Wiggert
15:45 - 16:30
Discussion and Concluding remarks
Discussion and Concluding remarks
Valentina Breschi & Federico Bianchi
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