01

Two-Timescale Stochastic EM Algorithms

Virtual Conference · Jul. 2021

ISIT 2021

02

HWA: Hyperparameters Weight Averaging in Bayesian Neural Networks

Virtual Conference · Jan. 2021

AABI 2020

03

Towards Better Generalization of Adaptive Gradient Methods

Virtual Conference · Dec. 2020

NeurIPS 2020

04

On the Global Convergence of (Fast) Incremental EM Methods

Vancouver, Canada · Dec. 2019

NeurIPS 2019

05

Nonconvex Optimization for Latent Data Models: Algorithms, Analysis and Applications

Palaiseau, France · Sept. 2019

Ph.D. Defense

06

An Incremental and An Online Point of View of Nonconvex Optimization

Moscow, Russia · Aug. 2019

Samsung AI · HSE Lab

07

Nonconvex Optimization for Latent Data Models: Algorithms, Analysis and Applications

Beijing, China · Aug. 2019

Baidu Research

08

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme

Phoenix, USA · Jun. 2019

COLT 2019

09

MISSO Scheme

Palaiseau, France · May. 2018

PGMODays 2018

10

Acceleration of MLE algorithms

Iasi, Romania · Aug. 2018

Compstat 2018

11

Mixed effects models: Maximum Likelihood and Inference

Paris, France · Feb. 2017

Facebook HQ

12

Analysis of birth cohort studies in BayesDB

Boston, USA · May. 2016

McGovern Institute

13

Probabilisitc Computing Project

Boston, USA · May. 2016

ML Tea at CSAIL