Xinyang Yi
13 papers · 2014–2024 · 7 venues · across top CS/AI venues
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Machine Learning
(12)
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sample complexity
(3)
mixed regression
(2)
minimax rate
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computational complexity
(2)
transfer learning
(2)
high-dimensional statistics
(2)
variational inference
(1)
parameter estimation
(1)
binary classification
(1)
similarity learning
(1)
weakly supervised learning
(1)
knowledge distillation
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mixed linear regression
(1)
matrix factorization
(1)
computational efficiency
(1)
principal component analysis
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domain generalization
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convex optimization
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Papers
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NeurIPS 2022
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019
Minimax Gaussian Classification & Clustering
AISTATS 2017
Fast Algorithms for Robust PCA via Gradient Descent
NeurIPS 2016
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
NeurIPS 2016
Binary Embedding: Fundamental Limits and Fast Algorithm
ICML 2015
Optimal Linear Estimation under Unknown Nonlinear Transform
NeurIPS 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
NeurIPS 2015
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
COLT 2014
Alternating Minimization for Mixed Linear Regression
ICML 2014