Chi-Jen Lu
19 papers · 2006–2023 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (9)
π
Renaissance Researcher
(7)
π
Conference Polyglot
(9)
π
Academic Marathon
(17)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(91)
π
Century Club
(19)
Conferences
ACML (3)
AISTATS (3)
NIPS (3)
COLT (2)
EMNLP (2)
ICML (2)
JMLR (2)
ALT (1)
IJCNLP (1)
Top co-authors
Keywords
regret bound
(7)
online learning
(3)
multi-armed bandit
(3)
text style transfer
(2)
generative adversarial network
(2)
support vector machine
(2)
lifelong learning
(2)
convex loss function
(2)
word-level conditional
(2)
online convex optimization
(2)
content preservation
(2)
low-rank approximation
(1)
tensor decomposition
(1)
multiclass classification
(1)
multi-task learning
(1)
reinforcement learning
(1)
sample complexity
(1)
convergence analysis
(1)
stochastic gradient descent
(1)
ranking aggregation
(1)
Papers
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
NIPS 2023
Improved analysis of randomized SVD for top-eigenvector approximation
AISTATS 2022
Rethinking Why Intermediate-Task Fine-Tuning Works
EMNLP 2021
Lifelong Learning with Branching Experts
ACML 2021
Lifelong Optimization with Low Regret
AISTATS 2019
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
EMNLP 2019
Online Linear Optimization with Sparsity Constraints
ALT 2019
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
IJCNLP 2019
Efficient Mechanisms for Peer Grading and Dueling Bandits
ACML 2018
Tensor Decomposition via Simultaneous Power Iteration
ICML 2017
Online Reinforcement Learning in Stochastic Games
NIPS 2017
Tracking the Best Expert in Non-stationary Stochastic Environments
NIPS 2016
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
AISTATS 2016
Boosting with Online Binary Learners for the Multiclass Bandit Problem
ICML 2014
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
ACML 2014
Beating Bandits in Gradually Evolving Worlds
COLT 2013
Online Optimization with Gradual Variations
COLT 2012
Tree Decomposition for Large-Scale SVM Problems
JMLR 2010
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
JMLR 2006