Xinyang Yi
13 papers · 2014–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25) π Conference Polyglot (7)
π
Academic Marathon
(10)
π£
Hot Topic Early Bird
π
Keyword Champion
π
Century Club
(13)
ποΈ
Keyword Collector
(56)
Conferences
NIPS (5)
AISTATS (2)
ICML (2)
ACL (1)
COLT (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
sample complexity
(3)
high-dimensional statistics
(2)
computational complexity
(2)
expectation maximization
(2)
minimax optimality
(2)
transfer learning
(2)
minimax rate
(2)
variational inference
(1)
mixed linear regression
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
parameter estimation
(1)
domain generalization
(1)
principal component analysis
(1)
convex optimization
(1)
non-convex optimization
(1)
dimension reduction
(1)
outlier detection
(1)
label noise
(1)
multi-task learning
(1)
Papers
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NIPS 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
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
NIPS 2016
Fast Algorithms for Robust PCA via Gradient Descent
NIPS 2016
Optimal Linear Estimation under Unknown Nonlinear Transform
NIPS 2015
Binary Embedding: Fundamental Limits and Fast Algorithm
ICML 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
NIPS 2015
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
COLT 2014
Alternating Minimization for Mixed Linear Regression
ICML 2014