Kai Zhong
14 papers · 2014–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27)
π
Keyword Champion
(3)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(81)
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(10)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Optimization
(7)
Deep Learning
(2)
Application Areas
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Learning Types Β· Machine Learning
(1)
Mathematics
(1)
Keywords
tensor method
(3)
label correlation
(2)
local strong convexity
(2)
coordinate descent
(2)
convex optimization
(2)
gradient descent
(2)
sparse optimization
(2)
optimization algorithm
(2)
dirichlet process
(1)
mixed linear regression
(1)
statistical learning
(1)
structured prediction
(1)
sequence labeling
(1)
matrix factorization
(1)
binary classification
(1)
probabilistic modeling
(1)
metric learning
(1)
multi-label classification
(1)
primal-dual optimization
(1)
knowledge distillation
(1)
Papers
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
ACL 2023
PECOS: Prediction for Enormous and Correlated Output Spaces
JMLR 2022
Provable Non-linear Inductive Matrix Completion
NeurIPS 2019
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
ICML 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
NeurIPS 2018
Fast Classification with Binary Prototypes
AISTATS 2017
Recovery Guarantees for One-hidden-layer Neural Networks
ICML 2017
Coordinate-wise Power Method
NeurIPS 2016
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain
NeurIPS 2016
Mixed Linear Regression with Multiple Components
NeurIPS 2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
ICML 2016
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
ICML 2015
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
NeurIPS 2015
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
NeurIPS 2014