Jiachang Liu
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Core Methods
(5)
Optimization
(4)
Application Areas
(3)
Natural Language Processing
(2)
Generation
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Clinical
(1)
Core AI
(1)
Keywords
sparse model
(2)
feature selection
(2)
logistic regression
(2)
model selection
(1)
text generation
(1)
information bottleneck
(1)
convex optimization
(1)
in-context learning
(1)
prompt engineering
(1)
document summarization
(1)
mutual information
(1)
global convergence
(1)
model interpretability
(1)
isotonic regression
(1)
branch and bound
(1)
domain adaptation
(1)
survival analysis
(1)
logistic loss
(1)
proximal gradient
(1)
contrastive learning
(1)
Papers
Scalable First-order Method for Certifying Optimal k-Sparse GLMs
ICML 2025
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
NeurIPS 2024
Position: Amazing Things Come From Having Many Good Models
ICML 2024
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
NeurIPS 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression
NeurIPS 2023
FasterRisk: Fast and Accurate Interpretable Risk Scores
NeurIPS 2022
Fast Sparse Classification for Generalized Linear and Additive Models
AISTATS 2022
What Makes Good In-Context Examples for GPT-3?
ACL 2022
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
ICML 2020