Jiachang Liu
10 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (23)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Cross-Pollinator
(9)
π
Century Club
(10)
β
The Questioner
Conferences
NIPS (4)
ICML (3)
ACL (1)
AISTATS (1)
EMNLP (1)
Top co-authors
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)
survival analysis
(1)
global convergence
(1)
model interpretability
(1)
isotonic regression
(1)
mutual information
(1)
domain adaptation
(1)
logistic loss
(1)
variable importance
(1)
semantic similarity
(1)
contrastive learning
(1)
Papers
Scalable First-order Method for Certifying Optimal k-Sparse GLMs
ICML 2025
Position: Amazing Things Come From Having Many Good Models
ICML 2024
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
NIPS 2024
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
OKRidge: Scalable Optimal k-Sparse Ridge Regression
NIPS 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
NIPS 2023
Fast Sparse Classification for Generalized Linear and Additive Models
AISTATS 2022
What Makes Good In-Context Examples for GPT-3?
ACL 2022
FasterRisk: Fast and Accurate Interpretable Risk Scores
NIPS 2022
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
ICML 2020