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Yongxin Chen

31 papers hereh-index 212.3k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author29
  • middle author2

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • math.OC14
  • eess.SY8
  • math-ph3
  • math.FA2
  • math.PR2
  • cs.LG1
same name
  • Yongxin Chen — 24 papers, h 15
  • Yongxin Chen — 23 papers, h 9
  • Yongxin Chen — 12 papers, h 8
  • Yongxin Chen — 10 papers, h 10
  • Yongxin Chen — 10 papers, h 5
  • Yongxin Chen — 10 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedLow-complexity modeling of partially available second-order statistics: theory and an efficient matrix completion algorithm

36 citations · 122 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.SY2019

Covariance steering in zero-sum linear-quadratic two-player differential games

Yongxin Chen, Tryphon T. Georgiou, Michele Pavon

We formulate a new class of two-person zero-sum differential games, in a stochastic setting, where a specification on a target terminal state distribution is imposed on the players…

cs.LG2019★ 2 cited

Probabilistic Kernel Support Vector Machines

Yongxin Chen, Tryphon T. Georgiou, Allen R. Tannenbaum

We propose a probabilistic enhancement of standard kernel Support Vector Machines for binary classification, in order to address the case when, along with given data sets, a descri…

math.OC2019

Optimal steering for non-Markovian Gaussian processes

Daniele Alpago, Yongxin Chen, Tryphon Georgiou +1

At present, the problem to steer a non-Markovian process with minimum energy between specified end-point marginal distributions remains unsolved. Herein, we consider the special ca…

math.OC2019

Multi-marginal Schrodinger bridges

Yongxin Chen, Giovanni Conforti, Tryphon T. Georgiou +1

We consider the problem to identify the most likely flow in phase space, of (inertial) particles under stochastic forcing, that is in agreement with spatial (marginal) distribution…

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