Chi-Jen Lu
18 papers · 2006–2023 · 8 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
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Full
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(92)
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(11)
Learning Types Β· Machine Learning
(9)
Mathematics & Optimization
(8)
Optimization
(7)
Artificial Intelligence
(6)
Core AI
(6)
Core Methods
(6)
Deep Learning
(2)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
regret bound
(7)
multi-armed bandit
(3)
online learning
(3)
expert advice
(2)
convex loss function
(2)
online convex optimization
(2)
lifelong learning
(2)
support vector machine
(2)
mechanism design
(1)
text style transfer
(1)
multi-task learning
(1)
dynamic regret
(1)
reinforcement learning
(1)
tensor decomposition
(1)
sample complexity
(1)
convergence analysis
(1)
stochastic gradient descent
(1)
multi-class classification
(1)
online optimization
(1)
gradient descent
(1)
Papers
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
NeurIPS 2023
Improved analysis of randomized SVD for top-eigenvector approximation
AISTATS 2022
Lifelong Learning with Branching Experts
ACML 2021
Rethinking Why Intermediate-Task Fine-Tuning Works
EMNLP 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
Efficient Mechanisms for Peer Grading and Dueling Bandits
ACML 2018
Online Reinforcement Learning in Stochastic Games
NeurIPS 2017
Tensor Decomposition via Simultaneous Power Iteration
ICML 2017
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
AISTATS 2016
Tracking the Best Expert in Non-stationary Stochastic Environments
NeurIPS 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