Machine Learning in Feedback Systems
This page presents lecture materials and calendar for CS 6784-002: Machine Learning in Feedback Systems taught by Sarah Dean at Cornell University in fall 2022.
The most up-to-date material and information can be accessed here (requires Cornell login).
Date | no. | Topic | Materials |
8/22 | 1 | Overview & Supervised Learning | Slides, Recording |
8/24 | 2 | Supervised Learning: Non-discrimination, least squares | Slides, Recording |
8/29 | 3 | Online Learning via Online Convex Optimization | Slides, Recording |
8/31 | 4 | Dynamical Systems: equilibria, stability, linear systems | Slides, Recording |
9/5 | No Meeting: Labor Day | ||
9/7 | 5 | Dynamical Systems: nonlinear stability, inputs, outputs | Slides, Recording |
9/12 | 6 | HSNL18 Fairness without demographics in repeated loss minimization | |
9/14 | 7 | PZMDH20 Performative prediction | |
9/19 | 8 | State Estimation | Slides, Recording |
9/21 | 9 | System Identification | Slides, Recording |
9/26 | 10 | Guest Lecture by Max Simchowitz of MST+18 Learning Without Mixing | Recording |
9/28 | 11 | TMP20 Sample complexity of Kalman filtering | |
10/3 | 12 | Contextual Bandits: setting & estimation | Slides, Recording |
10/5 | 13 | Contextual Bandits: low regret algorithms | Slides, Recording |
10/10 | No Meeting: Fall Break | ||
10/12 | 14 | Optimal Control & Dynamic Programming | Slides, Recording |
10/17 | 15 | Optimal Linear Control | Slides, Recording |
10/19 | 16 | Model-Based RL & Robustness | Slides, Recording |
10/24 | 17 | FGKM18 Global convergence of policy gradient methods | |
10/26 | 18 | Guest Lecture by Stephen Tu: Learning from Many Trajectories | Recording |
10/31 | 19 | KTR19 Finite time analysis of approximate policy iteration and IZY22 How to learn when data gradually reacts to your model | |
11/2 | 20 | Safe Control | Slides, Recording |
11/7 | 21 | Model Predictive Control | Slides, Recording |
11/9 | 22 | Model Predictive Control | Slides, Recording |
11/14 | 23 | RB17 Learning model predictive control for iterative tasks | |
11/16 | 24 | DSA+20 Fairness is not static | |
11/21 | 25 | FLD21 Algorithmic fairness and the situated dynamics of justice | |
11/23 | No Meeting: Thanksgiving | ||
11/28 | 26 | JKL+20 Fair prediction with endogeneous behavior or LWH+20 The disparate equilibria of algorithmic decision making | |
11/30 | 27 | ZCL+21 Towards content provider aware recommender systems | |
12/5 | 28 | HJMR19 A geometric model of opinion polarization |