Michael Y. Hu

46 papers A* 3B 1Journal 39Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Neural Scaling Laws.
CoRR
Michael Y. Hu, Jane Pan, Ayush Rajesh Jhaveri, Nicholas Lourie, Kyunghyun Cho
2025 A* conf
Aioli: A Unified Optimization Framework for Language Model Data Mixing.
ICLR
Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2025 J jnl
BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop.
CoRR
Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Y. Hu, Jaap Jumelet, Tal Linzen, Jing Liu, Aaron Mueller, Candace Ross, Raj Sanjay Shah, Alex Warstadt, Ethan Wilcox, Adina Williams
2025 — conf
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases.
ACL (1)
Michael Y. Hu, Jackson Petty, Chuan Shi, William Merrill, Tal Linzen
2025 J jnl
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases.
CoRR
Michael Y. Hu, Jackson Petty, Chuan Shi, William Merrill, Tal Linzen
2025 J jnl
RELIC: Evaluating Compositional Instruction Following via Language Recognition.
CoRR
Jackson Petty, Michael Y. Hu, Wentao Wang, Shauli Ravfogel, William Merrill, Tal Linzen
2025 J jnl
Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting.
CoRR
Michael Y. Hu, Benjamin Van Durme, Jacob Andreas, Harsh Jhamtani
2025 — conf
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check.
EMNLP (Findings)
Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho
2025 J jnl
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check.
CoRR
Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho
2024 J jnl
Aioli: A Unified Optimization Framework for Language Model Data Mixing.
CoRR
Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré
2024 J jnl
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction.
CoRR
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths
2024 B conf
Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction.
CogSci
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024 J jnl
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora.
CoRR
Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox
2024 J jnl
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.
CoRR
Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang
2023 J jnl
Latent State Models of Training Dynamics.
CoRR
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho
2023 J jnl
Latent State Models of Training Dynamics.
Trans. Mach. Learn. Res.
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho
2022 J jnl
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines.
CoRR
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
2022 A* conf
Using natural language and program abstractions to instill human inductive biases in machines.
NeurIPS
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2021 A* conf
Safe Reinforcement Learning with Natural Language Constraints.
NeurIPS
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2020 J jnl
Information security policy noncompliance: An integrative social influence model.
Inf. Syst. J.
Kholekile L. Gwebu, Jing Wang, Michael Y. Hu
2020 J jnl
Safe Reinforcement Learning with Natural Language Constraints.
CoRR
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2012 J jnl
An experimental investigation into the effects of information revelation in multi-attribute reverse auctions.
Behav. Inf. Technol.
Kholekile L. Gwebu, Michael Y. Hu, Murali S. Shanker
2010 J jnl
An agent-based diffusion model with consumer and brand agents.
Decis. Support Syst.
Mary E. Schramm, Kevin J. Trainor, Murali S. Shanker, Michael Y. Hu
2010 J jnl
An investigation of neural network classifiers with unequal misclassification costs and group sizes.
Decis. Support Syst.
Jyhshyan Lan, Michael Y. Hu, Butje Eddy Patuwo, G. Peter Zhang
2010 J jnl
Name-Your-Own-Price seller's information revelation strategy with the presence of list-price channel.
Electron. Mark.
Tuo Wang, Michael Y. Hu, Andy Wei Hao
2010 J jnl
Overcoming Liability of Foreignness: An Analysis of Early Foreign Investment in China.
Int. J. Strateg. Decis. Sci.
Haiyang Chen, Michael Y. Hu, G. Peter Zhang
2009 J jnl
A joint investigation of misclassification treatments and imbalanced datasets on neural network performance.
Neural Comput. Appl.
Jyhshyan Lan, Victor L. Berardi, Butje Eddy Patuwo, Michael Y. Hu
2008 J jnl
Modeling consumer situational choice of long distance communication with neural networks.
Decis. Support Syst.
Michael Y. Hu, Murali S. Shanker, G. Peter Zhang, Ming S. Hung
2007 J jnl
The effect of sample size on the extended self-organizing map network - A market segmentation application.
Comput. Stat. Data Anal.
Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher
2006 J jnl
A Framework for Distance Education Effectiveness: An Illustration Using a Business Statistics Course.
Int. J. Web Based Learn. Teach. Technol.
Murali S. Shanker, Michael Y. Hu
2006 J jnl
An extended self-organizing map network for market segmentation - a telecommunication example.
Decis. Support Syst.
Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher
2006 J jnl
Conditional volatility properties of sleep-disordered breathing.
Comput. Biol. Medicine
Michael Y. Hu, Christos Tsoukalas
2005 J jnl
A distribution-free approach to estimating best response values with application to mutual fund performance modeling.
Eur. J. Oper. Res.
Marvin D. Troutt, Michael Y. Hu, Murali S. Shanker
2005 — conf
The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation.
HICSS
Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher, Robert T. H. Chi
2004 J jnl
A principled approach for building and evaluating neural network classification models.
Decis. Support Syst.
Victor L. Berardi, Butje Eddy Patuwo, Michael Y. Hu
2004 J jnl
Modeling foreign equity control in Sino-foreign joint ventures with neural networks.
Eur. J. Oper. Res.
Michael Y. Hu, G. Peter Zhang, Haiyang Chen
2003 J jnl
Explaining consumer choice through neural networks: The stacked generalization approach.
Eur. J. Oper. Res.
Michael Y. Hu, Christos Tsoukalas
2002 J jnl
Estimating breast cancer risks using neural networks.
J. Oper. Res. Soc.
Ming S. Hung, Murali Shanker, Michael Y. Hu
2001 J jnl
A simulation study of artificial neural networks for nonlinear time-series forecasting.
Comput. Oper. Res.
G. Peter Zhang, Butje Eddy Patuwo, Michael Y. Hu
1999 J jnl
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis.
Eur. J. Oper. Res.
Guoqiang Peter Zhang, Michael Y. Hu, Butje Eddy Patuwo, Daniel C. Indro
1999 J jnl
Estimating the performance of Sino‐Hong Kong joint ventures using neuralnetwork ensembles.
Ann. Oper. Res.
Michael Y. Hu, Ming S. Hung, Butje Eddy Patuwo, Murali S. Shanker
1995 J jnl
Monitoring the Quality of a Chemical Production Process Using the Joint Estimation Method.
J. Chem. Inf. Comput. Sci.
Sameer Prasad, David E. Booth, Michael Y. Hu
1995 J jnl
Predictors of the outcome of a soccer game - a normative analysis illustrated for the Israeli Soccer League.
Math. Methods Oper. Res.
Abraham Mehrez, Michael Y. Hu
1995 J jnl
Using polynomial smoothing and data bounding for the detection of nuclear material diversions and losses.
J. Chem. Inf. Comput. Sci.
Paul R. Sebastian, David E. Booth, Michael Y. Hu
1994 J jnl
Using Polynomial Smoothing and Data Bounding for the Detection of Adverse Process Changes in a Chemical Process.
J. Chem. Inf. Comput. Sci.
Paul R. Sebastian, David E. Booth, Michael Y. Hu
1993 J jnl
An experimental evaluation of neural networks for classification.
Comput. Oper. Res.
Venkat Subramanian, Ming S. Hung, Michael Y. Hu