Dean P. Foster
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
1991–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. | Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai |
| 2025 | ICLR | How Does Critical Batch Size Scale in Pre-training? | Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean P. Foster, Sham M. Kakade |
| 2024 | NAACL | A Study on the Calibration of In-context Learning. | Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade |
| 2023 | ALT | Linear Reinforcement Learning with Ball Structure Action Space. | Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster |
| 2023 | COLT | On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring. | Dean P. Foster, Dylan J. Foster, Noah Golowich, Alexander Rakhlin |
| 2021 | ICLR | What are the Statistical Limits of Offline RL with Linear Function Approximation? | Ruosong Wang, Dean P. Foster, Sham M. Kakade |
| 2021 | ICML | Variance Reduced Training with Stratified Sampling for Forecasting Models. | Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean P. Foster |
| 2021 | ICML | Top-k eXtreme Contextual Bandits with Arm Hierarchy. | Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon |
| 2019 | ICML | Deep Factors for Forecasting. | Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski |
| 2019 | VRST | Interactive Visualization of Painting Data with Augmented Reality. | Kyungjin Yoo, Dean P. Foster |
| 2019 | VRST | Interactive Visualization of Painting Data with Augmented Reality. | Kyungjin Yoo, Dean P. Foster |
| 2018 | ICASSP | Invariances and Data Augmentation for Supervised Music Transcription. | John Thickstun, Zad Harchaoui, Dean P. Foster, Sham M. Kakade |
| 2017 | ACL | Semantic Word Clusters Using Signed Spectral Clustering. | Joo Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar |
| 2016 | COLT | Online Sparse Linear Regression. | Dean P. Foster, Satyen Kale, Howard J. Karloff |
| 2015 | COLT | Variable Selection is Hard. | Dean P. Foster, Howard J. Karloff, Justin Thaler |
| 2015 | ICML | Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. | Zhuang Ma, Yichao Lu, Dean P. Foster |
| 2014 | AISTATS | A Level-set Hit-and-run Sampler for Quasi-Concave Distributions. | Shane T. Jensen, Dean P. Foster |
| 2014 | UAI | Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. | Yichao Lu, Dean P. Foster |
| 2014 | UAI | Adaptive Monotone Shrinkage for Regression. | Zhuang Ma, Dean P. Foster, Robert A. Stine |
| 2013 | NAACL | Spectral Learning Algorithms for Natural Language Processing. | Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar |
| 2013 | NAACL | Experiments with Spectral Learning of Latent-Variable PCFGs. | Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | ACL | Spectral Learning of Latent-Variable PCFGs. | Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | COLING | New Insights from Coarse Word Sense Disambiguation in the Crowd. | Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster |
| 2012 | EMNLP | Spectral Dependency Parsing with Latent Variables. | Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar |
| 2012 | ICML | Using CCA to improve CCA: A new spectral method for estimating vector models of words. | Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar |
| 2010 | EMNLP | A New Approach to Lexical Disambiguation of Arabic Text. | Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar |
| 2009 | ICDM | VIF Regression: A Fast Regression Algorithm for Large Data. | Dongyu Lin, Dean P. Foster |
| 2008 | ICDM | Efficient Feature Selection in the Presence of Multiple Feature Classes. | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar |
| 2007 | COLT | Multi-view Regression Via Canonical Correlation Analysis. | Sham M. Kakade, Dean P. Foster |
| 2006 | ITW | Calibration via Regression. | Dean P. Foster, Sham M. Kakade |
| 2005 | AISTATS | Streaming Feature Selection using IIC. | Lyle H. Ungar, Jing Zhou, Dean P. Foster, Bob A. Stine |
| 2005 | KDD | Streaming feature selection using alpha-investing. | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar |
| 2004 | COLT | Deterministic Calibration and Nash Equilibrium. | Sham M. Kakade, Dean P. Foster |
| 1997 | ICML | Characterizing the generalization performance of model selection strategies. | Dale Schuurmans, Lyle H. Ungar, Dean P. Foster |
| 1991 | FOCS | Competitive Algorithms for Layered Graph Traversal | Amos Fiat, Dean P. Foster, Howard J. Karloff, Yuval Rabani, Yiftach Ravid, Sundar Vishwanathan |