Faming Liang
11 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Academic Marathon (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(15)
π
Conference Polyglot
(4)
π
Grand Slam
π
Keyword Champion
(2)
π
Century Club
(11)
π₯
Unstoppable
(6)
Conferences
NIPS (5)
ICLR (4)
AAAI (1)
ICML (1)
Top co-authors
Keywords
markov chain monte carlo
(3)
replica exchange
(2)
stochastic gradient descent
(2)
uncertainty quantification
(2)
parallel tempering
(2)
bayesian inference
(1)
statistical modeling
(1)
deep learning
(1)
neural network optimization
(1)
stochastic gradient
(1)
asymptotic normality
(1)
recurrent neural network
(1)
sparse neural network
(1)
bayesian deep learning
(1)
sufficient dimension reduction
(1)
stochastic neural network
(1)
time series datum
(1)
global optimum
(1)
adaptive stochastic gradient
(1)
sparse deep learning
(1)
Papers
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024
Fast Value Tracking for Deep Reinforcement Learning
ICLR 2024
Sparse Deep Learning for Time Series Data: Theory and Applications
NIPS 2023
Non-reversible Parallel Tempering for Deep Posterior Approximation
AAAI 2023
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
NIPS 2022
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NIPS 2021
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
ICLR 2021
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
ICML 2020
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
NIPS 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NIPS 2019