Mingzhang Yin
16 papers · 2017–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Renaissance Researcher
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Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Deep Learning
(6)
Core AI
(6)
Models
(6)
Learning Types
(5)
Core Methods
(3)
Bayesian & Probabilistic
(2)
Computer Science
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
variance reduction
(4)
bayesian inference
(3)
variational inference
(3)
variational autoencoder
(3)
policy gradient
(2)
reinforcement learning
(2)
binary latent variable
(2)
generative model
(2)
causal inference
(2)
gradient estimator
(2)
uncertainty quantification
(2)
zero-shot learning
(1)
domain adaptation
(1)
graph clustering
(1)
active learning
(1)
conformal prediction
(1)
expectation maximization
(1)
few-shot learning
(1)
learning theory
(1)
preference alignment
(1)
Papers
Confounding-Robust Deferral Policy Learning
AAAI 2025
Permutative Preference Alignment from Listwise Ranking of Human Judgments
EMNLP 2025
Optimization-based Causal Estimation from Heterogeneous Environments
JMLR 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
ICML 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
NeurIPS 2024
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
AAAI 2023
Probabilistic Conformal Prediction Using Conditional Random Samples
AISTATS 2023
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLeaR 2022
A Theoretical Case Study of Structured Variational Inference for Community Detection
AISTATS 2020
Discrete Action On-Policy Learning with Action-Value Critic
AISTATS 2020
Meta-Learning without Memorization
ICLR 2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
UAI 2020
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
ICLR 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
ICML 2019
Semi-Implicit Variational Inference
ICML 2018
Convergence of Gradient EM on Multi-component Mixture of Gaussians
NeurIPS 2017