Deividas Eringis

Joined

May 2022

Names

Deividas Eringis (Preferred)

Emails

****@es.aau.dk (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

PhD student

Aalborg University (aau.dk)

2020 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Present

PhD Advisor

Present

PhD Advisor

Rafal Wisniewski

Present

Expertise

Machine Learning

Present

Bayesian learning

Present

Control systems

Present

Publications

PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
- ICML 2024 Poster
- Readers: Everyone
PAC-Bayesian Bounds for Learning LTI-ss systems with Input from Empirical Loss
Deividas Eringis, John Leth, Rafal Wisniewski, Zheng-Hua Tan, Mihaly Petreczky
- Frontiers4LCD
- Readers: Everyone
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- CoRR 2023
- Readers: Everyone
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- CoRR 2022
- Readers: Everyone
PAC-Bayesian theory for stochastic LTI systems
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- CDC 2021
- Readers: Everyone
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- CoRR 2021
- Readers: Everyone
PAC-Bayesian theory for stochastic LTI systems
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- CoRR 2021
- Readers: Everyone

Co-Authors