Attila Lovas

1. Markov chains in random environment with applications in queueing theory\n and machine learning
   2019/11/11 by Attila Lovas, Lovas, Attila, Miklós Rásonyi +1 · 3 citations
   Business, Management and Accounting · Decision Sciences · Mathematics · #Advanced Queuing Theory Analysis #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Simulation Techniques and Applications #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an)
2. Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms
   2020/06/25 by Attila Lovas, Lovas, Attila, Iosif Lytras +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications #Optimization and Control (math.OC) #Probability (math.PR) #Stochastic Gradient Optimization Techniques
3. Functional Central Limit Theorem and Strong Law of Large Numbers for Stochastic Gradient Langevin Dynamics
   2022/10/05 by Attila Lovas, Lovas, Attila, Miklós Rásonyi +1 · 2 citations
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques