4 citations · 9 across the 4 of their papers we have counts for
3 papers · 1 filter
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss
Deividas Eringis, John Leth, Zheng-Hua Tan +2
In this paper we derive a Probably Approxilmately Correct(PAC)-Bayesian error bound for linear time-invariant (LTI) stochastic dynamical systems with inputs. Such bounds are widesp…
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
Deividas Eringis, John Leth, Zheng-Hua Tan +2
In this paper we derive a PAC-Bayesian-Like error bound for a class of stochastic dynamical systems with inputs, namely, for linear time-invariant stochastic state-space models (st…
PAC-Bayesian theory for stochastic LTI systems
Deividas Eringis, John Leth, Zheng-Hua Tan +3
In this paper we derive a PAC-Bayesian error bound for autonomous stochastic LTI state-space models. The motivation for deriving such error bounds is that they will allow deriving…