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20142026
most citedMean-Field Langevin Dynamics and Energy Landscape of Neural Networks

30 citations · 119 across the 28 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.OC2019★ 1 cited

Mean Field Games with Branching

Julien Claisse, Zhenjie Ren, Xiaolu Tan

Mean field games are concerned with the limit of large-population stochastic differential games where the agents interact through their empirical distribution. In the classical set…

math.PR2019★ 3 cited

Continuous-Time Principal-Agent Problem in Degenerate Systems

Kaitong Hu, Zhenjie Ren, Nizar Touzi

In this paper we present a variational calculus approach to Principal-Agent problem with a lump-sum payment on finite horizon in degenerate stochastic systems, such as filtered par…

math.PR2019★ 11 cited

Mean-field Langevin System, Optimal Control and Deep Neural Networks

Kaitong Hu, Anna Kazeykina, Zhenjie Ren

In this paper, we study a regularised relaxed optimal control problem and, in particular, we are concerned with the case where the control variable is of large dimension. We introd…

math.PR2019★ 30 cited

Mean-Field Langevin Dynamics and Energy Landscape of Neural Networks

Kaitong Hu, Zhenjie Ren, David Siska +1

Our work is motivated by a desire to study the theoretical underpinning for the convergence of stochastic gradient type algorithms widely used for non-convex learning tasks such as…

math.PR2019★ 9 cited

Principal-agent problem with multiple principals

Kaitong Hu, Zhenjie Ren, Junjian Yang

We consider a moral hazard problem with multiple principals in a continuous-time model. The agent can only work exclusively for one principal at a given time, so faces an optimal s…