activity
20182022
most citedHow to Learn when Data Reacts to Your Model: Performative Gradient Descent

11 citations · 38 across the 21 of their papers we have counts for

collaborators

39 papers

math.NA2022

Annealed importance sampling for Ising models with mixed boundary conditions

Lexing Ying

This note introduces a method for sampling Ising models with mixed boundary conditions. As an application of annealed importance sampling and the Swendsen-Wang algorithm, the metho…

math.NA2022

Double Flip Move for Ising Models with Mixed Boundary Conditions

Lexing Ying

This note introduces the double flip move for accelerating the Swendsen-Wang algorithm for Ising models with mixed boundary conditions below the critical temperature. The double fl…

cs.GT20222 cited

Provably convergent quasistatic dynamics for mean-field two-player zero-sum games

Chao Ma, Lexing Ying

In this paper, we study the problem of finding mixed Nash equilibrium for mean-field two-player zero-sum games. Solving this problem requires optimizing over two probability distri…

math.NA20221 cited

Pole recovery from noisy data on imaginary axis

Lexing Ying

This note proposes an algorithm for identifying the poles and residues of a meromorphic function from its noisy values on the imaginary axis. The algorithm uses Möbius transform an…

cs.LG2021

A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization

Chao Ma, Lexing Ying

The training dynamics of two-layer neural networks with batch normalization (BN) is studied. It is written as the training dynamics of a neural network without BN on a Riemannian m…

math.PR2021

Shrinkage Estimation of Functions of Large Noisy Symmetric Matrices

Panagiotis Lolas, Lexing Ying

We study the problem of estimating functions of a large symmetric matrix when we only have access to a noisy estimate We are interested in the…