Sarah Dean PRO
asst prof in CS at Cornell
All decks
Close
-
15 - Adaptive Control - ML in Feedback Sys F25
-
14 - Control with Partial Observation - ML in Feedback Sys F25
-
13 - MPC Safety and Stability - ML in Feedback Sys F25
-
12 - MPC - ML in Feedback Sys F25
-
11 - Bandits - ML in Feedback Sys F25
-
10 - Generalization - ML in Feedback Sys F25
-
09 - Hidden Markov Models - ML in Feedback Sys F25
-
08 - Stochastic Dynamics and Filtering - ML in Feedback Sys F25
-
07 - Linear Autoregressive Models - ML in Feedback Sys F25
-
06 - Nonlinear Dynamics and Koopman - ML in Feedback Sys F25
-
05 - Nonlinear Dynamics and Linearization - ML in Feedback Sys F25
-
04 - Linear Dynamics - ML in Feedback Sys F25
-
03 - Sequential Data: Markov Models - ML in Feedback Sys F25
-
02 - Supervised Learning: Least Squares - ML in Feedback Sys F25
-
01 - Overview - ML in Feedback Sys F25
-
Set-based and Machine Learning Perspectives on Control-affine Dynamics
-
Learning and decision making under observer effects
-
Learning Models of Dynamical Systems from Finite Observations
-
OLC Talk: Learning Dynamics from Bilinear Observations
-
User Dynamics in Machine Learning Systems
-
Online Convex Optimization with Unbounded Memory
-
Preference and Participation Dynamics in Learning Systems
-
Dissertation Talk
-
Certainty Equivalent Perception-Based Control
-
Bias in Algorithms
-
Measurement-Robust Control Barrier Functions
-
Sample Complexity LQR
-
Learning Based Control
-
Delayed Impact of Fair Machine Learning
-
Safe LQR ACC
-
Feedback Systems Ch 4: