Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Kan, Zhao, Xuanyi, Bastani, Hamsa, Bastani, Osbert |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021)
by: Bastani, Hamsa, et al.
Published: (2021)
Stochastic Bandits with ReLU Neural Networks
by: Xu, Kan, et al.
Published: (2024)
by: Xu, Kan, et al.
Published: (2024)
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
by: Ge, Haosen, et al.
Published: (2024)
by: Ge, Haosen, et al.
Published: (2024)
Rethinking Algorithmic Fairness for Human-AI Collaboration
by: Ge, Haosen, et al.
Published: (2023)
by: Ge, Haosen, et al.
Published: (2023)
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)
by: Bastani, Hamsa, et al.
Published: (2025)
Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching
by: Bastani, Hamsa, et al.
Published: (2026)
by: Bastani, Hamsa, et al.
Published: (2026)
Asymptotic Normality of Generalized Low-Rank Matrix Sensing via Riemannian Geometry
by: Bastani, Osbert
Published: (2024)
by: Bastani, Osbert
Published: (2024)
Multitask Learning and Bandits via Robust Statistics
by: Xu, Kan, et al.
Published: (2021)
by: Xu, Kan, et al.
Published: (2021)
Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
by: Young, Halley, et al.
Published: (2024)
by: Young, Halley, et al.
Published: (2024)
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
by: Ramalingam, Ramya, et al.
Published: (2024)
by: Ramalingam, Ramya, et al.
Published: (2024)
Are AI Capabilities Increasing Exponentially? A Competing Hypothesis
by: Ge, Haosen, et al.
Published: (2026)
by: Ge, Haosen, et al.
Published: (2026)
Generative Adversarial Model-Based Optimization via Source Critic Regularization
by: Yao, Michael S., et al.
Published: (2024)
by: Yao, Michael S., et al.
Published: (2024)
SPARLING: Learning Latent Representations with Extremely Sparse Activations
by: Gupta, Kavi, et al.
Published: (2023)
by: Gupta, Kavi, et al.
Published: (2023)
Strategic Hiring under Algorithmic Monoculture
by: Baek, Jackie, et al.
Published: (2025)
by: Baek, Jackie, et al.
Published: (2025)
Prior-Agnostic Incentive-Compatible Exploration
by: Ramalingam, Ramya, et al.
Published: (2026)
by: Ramalingam, Ramya, et al.
Published: (2026)
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
by: Huang, Xinmeng, et al.
Published: (2023)
by: Huang, Xinmeng, et al.
Published: (2023)
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
Conformal Structured Prediction
by: Zhang, Botong, et al.
Published: (2024)
by: Zhang, Botong, et al.
Published: (2024)
LLM Program Optimization via Retrieval Augmented Search
by: Anupam, Sagnik, et al.
Published: (2025)
by: Anupam, Sagnik, et al.
Published: (2025)
Synthesizing Trajectory Queries from Examples
by: Mell, Stephen, et al.
Published: (2026)
by: Mell, Stephen, et al.
Published: (2026)
Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria
by: Yao, Michael S., et al.
Published: (2024)
by: Yao, Michael S., et al.
Published: (2024)
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
by: Yao, Michael S., et al.
Published: (2025)
by: Yao, Michael S., et al.
Published: (2025)
SeekerGym: A Benchmark for Reliable Information Seeking
by: Kim, Remy, et al.
Published: (2026)
by: Kim, Remy, et al.
Published: (2026)
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023)
by: Li, Shuo, et al.
Published: (2023)
RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
by: Huang, Lianghuan, et al.
Published: (2025)
by: Huang, Lianghuan, et al.
Published: (2025)
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025)
by: Si, Wenwen, et al.
Published: (2025)
Optimal Program Synthesis via Abstract Interpretation
by: Mell, Stephen, et al.
Published: (2026)
by: Mell, Stephen, et al.
Published: (2026)
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
by: Anik, Md Saidul Hoque, et al.
Published: (2025)
by: Anik, Md Saidul Hoque, et al.
Published: (2025)
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)
by: Mell, Stephen, et al.
Published: (2025)
Choose, Don't Label: Multiple-Choice Query Synthesis for Program Disambiguation
by: Barnaby, Celeste, et al.
Published: (2026)
by: Barnaby, Celeste, et al.
Published: (2026)
Opportunistically Parallel Lambda Calculus
by: Mell, Stephen, et al.
Published: (2024)
by: Mell, Stephen, et al.
Published: (2024)
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
by: Yang, Chaohao, et al.
Published: (2024)
by: Yang, Chaohao, et al.
Published: (2024)
PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications
by: Mell, Stephen, et al.
Published: (2026)
by: Mell, Stephen, et al.
Published: (2026)
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
by: Karger, Ezra, et al.
Published: (2024)
by: Karger, Ezra, et al.
Published: (2024)
Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024)
by: Yarrabelly, Navya, et al.
Published: (2024)
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
by: Chen, Xin, et al.
Published: (2021)
by: Chen, Xin, et al.
Published: (2021)
Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)
by: Han, Chi, et al.
Published: (2023)
Active Learning for Neurosymbolic Program Synthesis
by: Barnaby, Celeste, et al.
Published: (2025)
by: Barnaby, Celeste, et al.
Published: (2025)
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
by: Ren, Yunwei, et al.
Published: (2024)
by: Ren, Yunwei, et al.
Published: (2024)
Similar Items
-
Improving Human Sequential Decision-Making with Reinforcement Learning
by: Bastani, Hamsa, et al.
Published: (2021) -
Stochastic Bandits with ReLU Neural Networks
by: Xu, Kan, et al.
Published: (2024) -
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
by: Ge, Haosen, et al.
Published: (2024) -
Rethinking Algorithmic Fairness for Human-AI Collaboration
by: Ge, Haosen, et al.
Published: (2023) -
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)