Attila Lovas

Orcid: 0000-0002-7446-8023

According to our database1, Attila Lovas authored at least 4 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms.
SIAM J. Math. Data Sci., June, 2023

2022
Functional Central Limit Theorem and Strong Law of Large Numbers for Stochastic Gradient Langevin Dynamics.
CoRR, 2022

2021
Ergodic theorems for queuing systems with dependent inter-arrival times.
Oper. Res. Lett., 2021

2020
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms.
CoRR, 2020


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