| 2026 | COLT | Graph neural networks extrapolate out-of-distribution for shortest paths. | Robert R. Nerem, Samantha Chen, Sanjoy Dasgupta, Yusu Wang |
| 2024 | ICML | New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering. | Sanjoy Dasgupta, Eduardo Sany Laber |
| 2024 | UAI | Convergence Behavior of an Adversarial Weak Supervision Method. | Steven An, Sanjoy Dasgupta |
| 2023 | ALT | Online k-means Clustering on Arbitrary Data Streams. | Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta |
| 2023 | ICML | Data-Copying in Generative Models: A Formal Framework. | Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri |
| 2022 | AISTATS | Convergence of online k-means. | Geelon So, Gaurav Mahajan, Sanjoy Dasgupta |
| 2022 | ICML | Framework for Evaluating Faithfulness of Local Explanations. | Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz |
| 2022 | ICML | Constants Matter: The Performance Gains of Active Learning. | Stephen O. Mussmann, Sanjoy Dasgupta |
| 2022 | IJCAI | A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract). | Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing |
| 2020 | AISTATS | Robust Learning from Discriminative Feature Feedback. | Sanjoy Dasgupta, Sivan Sabato |
| 2020 | AISTATS | A Three Sample Hypothesis Test for Evaluating Generative Models. | Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta |
| 2020 | ALT | What relations are reliably embeddable in Euclidean space? | Robi Bhattacharjee, Sanjoy Dasgupta |
| 2020 | ICML | Explainable k-Means and k-Medians Clustering. | Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost |
| 2019 | COLT | The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling. | Christopher Tosh, Sanjoy Dasgupta |
| 2019 | ICML | Teaching a black-box learner. | Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu |
| 2018 | AISTATS | Comparison Based Learning from Weak Oracles. | Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi |
| 2017 | AISTATS | Learning with Feature Feedback: from Theory to Practice. | Stefanos Poulis, Sanjoy Dasgupta |
| 2017 | ICML | Diameter-Based Active Learning. | Christopher Tosh, Sanjoy Dasgupta |
| 2016 | ICML | Interactive Bayesian Hierarchical Clustering. | Sharad Vikram, Sanjoy Dasgupta |
| 2016 | STOC | A cost function for similarity-based hierarchical clustering. | Sanjoy Dasgupta |
| 2014 | ICML | Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians. | Christopher Tosh, Sanjoy Dasgupta |
| 2013 | COLT | Randomized partition trees for exact nearest neighbor search. | Sanjoy Dasgupta, Kaushik Sinha |
| 2013 | HealthCom | DELPHI: Data E-platform for personalized population health. | Yannis Katsis, Chaitanya K. Baru, Ted Chan, Sanjoy Dasgupta, Claudiu Farcas, William G. Griswold, Jeannie Huang, Lucila Ohno-Machado, Yannis Papakonstantinou, Fredric Raab, Kevin Patrick |
| 2012 | ICML | Agglomerative Bregman Clustering. | Matus Telgarsky, Sanjoy Dasgupta |
| 2009 | ALT | The Two Faces of Active Learning. | Sanjoy Dasgupta |
| 2009 | DIS | The Two Faces of Active Learning. | Sanjoy Dasgupta |
| 2009 | ICML | Importance weighted active learning. | Alina Beygelzimer, Sanjoy Dasgupta, John Langford |
| 2009 | ICML | Tutorial summary: Active learning. | Sanjoy Dasgupta, John Langford |
| 2009 | UAI | Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? | Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta |
| 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 |
| 2008 | STOC | Random projection trees and low dimensional manifolds. | Sanjoy Dasgupta, Yoav Freund |
| 2007 | COLT | On-Line Estimation with the Multivariate Gaussian Distribution. | Sanjoy Dasgupta, Daniel J. Hsu |
| 2006 | ICML | Robust Euclidean embedding. | Lawrence Cayton, Sanjoy Dasgupta |
| 2006 | UAI | A Concentration Theorem for Projections. | Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma |
| 2005 | COLT | Analysis of Perceptron-Based Active Learning. | Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni |
| 2003 | COLT | Subspace Detection: A Robust Statistics Formulation. | Sanjoy Dasgupta |
| 2003 | COLT | How Fast Is | Sanjoy Dasgupta |
| 2003 | COLT | Boosting with Diverse Base Classifiers. | Sanjoy Dasgupta, Philip M. Long |
| 2002 | ALT | An Efficient PAC Algorithm for Reconstructing a Mixture of Lines. | Sanjoy Dasgupta, Elan Pavlov, Yoram Singer |
| 2002 | COLT | Performance Guarantees for Hierarchical Clustering. | Sanjoy Dasgupta |
| 2002 | STOC | The complexity of approximating entropy. | Tugkan Batu, Sanjoy Dasgupta, Ravi Kumar, Ronitt Rubinfeld |
| 2001 | ICML | Off-Policy Temporal Difference Learning with Function Approximation. | Doina Precup, Richard S. Sutton, Sanjoy Dasgupta |
| 2000 | UAI | Experiments with Random Projection. | Sanjoy Dasgupta |
| 2000 | UAI | A Two-Round Variant of EM for Gaussian Mixtures. | Sanjoy Dasgupta, Leonard J. Schulman |
| 1999 | FOCS | Learning Mixtures of Gaussians. | Sanjoy Dasgupta |
| 1999 | UAI | Learning Polytrees. | Sanjoy Dasgupta |