Faming Liang
11 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (22) 🏆 Keyword Champion (2)
🏆
Grand Slam
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory · Machine Learning
(7)
Bayesian & Probabilistic · Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Optimization & Theory · Deep Learning
(2)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
markov chain monte carlo
(6)
uncertainty quantification
(3)
stochastic gradient descent
(2)
stochastic gradient langevin dynamics
(2)
posterior sampling
(2)
stochastic neural network
(2)
sparse deep learning
(2)
parallel tempering
(2)
replica exchange
(2)
deep learning
(2)
variable selection
(1)
statistical modeling
(1)
deep reinforcement learning
(1)
bayesian inference
(1)
bayesian learning
(1)
representation learning
(1)
kalman filter
(1)
importance sampling
(1)
empirical bayesian methods
(1)
variational inference
(1)
Papers
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024
Fast Value Tracking for Deep Reinforcement Learning
ICLR 2024
Non-reversible Parallel Tempering for Deep Posterior Approximation
AAAI 2023
Sparse Deep Learning for Time Series Data: Theory and Applications
NeurIPS 2023
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
NeurIPS 2022
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
ICLR 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NeurIPS 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
NeurIPS 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
ICML 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NeurIPS 2019