| 2023 | COLT | Intrinsic dimensionality and generalization properties of the R-norm inductive bias. | Navid Ardeshir, Daniel J. Hsu, Clayton Hendrick Sanford |
| 2022 | COLT | Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. | Daniel J. Hsu, Clayton Hendrick Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis |
| 2017 | COLT | Correspondence retrieval. | Alexandr Andoni, Daniel J. Hsu, Kevin Shi, Xiaorui Sun |
| 2016 | ICASSP | Compact kernel models for acoustic modeling via random feature selection. | Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury |
| 2015 | ACL | Model-based Word Embeddings from Decompositions of Count Matrices. | Karl Stratos, Michael Collins, Daniel J. Hsu |
| 2015 | ALT | Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT). | Anima Anandkumar, Rong Ge, Daniel J. Hsu, Sham M. Kakade, Matus Telgarsky |
| 2015 | CCS | Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence. | Mathias Lcuyer, Riley Spahn, Yannis Spiliopolous, Augustin Chaintreau, Roxana Geambasu, Daniel J. Hsu |
| 2014 | ICML | Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits. | Alekh Agarwal, Daniel J. Hsu, Satyen Kale, John Langford, Lihong Li, Robert E. Schapire |
| 2014 | ICML | Heavy-tailed regression with a generalized median-of-means. | Daniel J. Hsu, Sivan Sabato |
| 2014 | UAI | A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. | Karl Stratos, Do-kyum Kim, Michael Collins, Daniel J. Hsu |
| 2013 | COLT | A Tensor Spectral Approach to Learning Mixed Membership Community Models. | Animashree Anandkumar, Rong Ge, Daniel J. Hsu, Sham M. Kakade |
| 2013 | ICML | Learning Linear Bayesian Networks with Latent Variables. | Animashree Anandkumar, Daniel J. Hsu, Adel Javanmard, Sham M. Kakade |
| 2012 | ICML | Convergence Rates for Differentially Private Statistical Estimation. | Kamalika Chaudhuri, Daniel J. Hsu |
| 2011 | UAI | Efficient Optimal Learning for Contextual Bandits. | Miroslav Dudk, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang |
| 2010 | UAI | An Online Learning-based Framework for Tracking. | Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu |
| 2009 | COLT | A Spectral Algorithm for Learning Hidden Markov Models. | Daniel J. Hsu, Sham M. Kakade, Tong Zhang |
| 2008 | ICML | Hierarchical sampling for active learning. | Sanjoy Dasgupta, Daniel J. Hsu |
| 2008 | ISAIM | A General Agnostic Active Learning Algorithm. | Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni |
| 2007 | COLT | On-Line Estimation with the Multivariate Gaussian Distribution. | Sanjoy Dasgupta, Daniel J. Hsu |
| 2006 | UAI | A Concentration Theorem for Projections. | Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma |