Mingzhang Yin
16 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (9)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(69)
π
Century Club
(16)
π
Conference Pioneer
Conferences
AISTATS (3)
ICML (3)
AAAI (2)
ICLR (2)
NIPS (2)
CLEAR (1)
EMNLP (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
variance reduction
(3)
bayesian inference
(3)
reinforcement learning
(2)
causal inference
(2)
uncertainty quantification
(2)
variational inference
(2)
gradient estimator
(2)
variational autoencoder
(2)
binary latent variable
(2)
policy gradient
(2)
generative model
(2)
preference alignment
(1)
conformal prediction
(1)
expectation maximization
(1)
direct preference optimization
(1)
robust optimization
(1)
learning theory
(1)
reinforcement learning from human feedback
(1)
graph clustering
(1)
gradient estimation
(1)
Papers
Confounding-Robust Deferral Policy Learning
AAAI 2025
Permutative Preference Alignment from Listwise Ranking of Human Judgments
EMNLP 2025
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
NIPS 2024
Optimization-based Causal Estimation from Heterogeneous Environments
JMLR 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
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
UAI 2020
Discrete Action On-Policy Learning with Action-Value Critic
AISTATS 2020
A Theoretical Case Study of Structured Variational Inference for Community Detection
AISTATS 2020
Meta-Learning without Memorization
ICLR 2020
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
ICML 2019
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
ICLR 2019
Semi-Implicit Variational Inference
ICML 2018
Convergence of Gradient EM on Multi-component Mixture of Gaussians
NIPS 2017