| 2022 | ICML | Global Optimization Networks. | Sen Zhao, Erez Louidor, Maya R. Gupta |
| 2021 | KDD | Bootstrapping for Batch Active Sampling. | Heinrich Jiang, Maya R. Gupta |
| 2020 | AAAI | Pairwise Fairness for Ranking and Regression. | Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang |
| 2020 | AISTATS | Deontological Ethics By Monotonicity Shape Constraints. | Serena Lutong Wang, Maya R. Gupta |
| 2020 | ICML | Deep k-NN for Noisy Labels. | Dara Bahri, Heinrich Jiang, Maya R. Gupta |
| 2020 | ICML | Multidimensional Shape Constraints. | Maya R. Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao |
| 2020 | ICML | Optimizing Black-box Metrics with Adaptive Surrogates. | Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta |
| 2019 | ICML | Shape Constraints for Set Functions. | Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu |
| 2019 | ICML | Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. | Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You |
| 2019 | ICML | Metric-Optimized Example Weights. | Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta |
| 2018 | ICML | Constrained Interacting Submodular Groupings. | Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes |
| 2016 | COLT | A Light Touch for Heavily Constrained SGD. | Andrew Cotter, Maya R. Gupta, Jan Pfeifer |
| 2013 | FUSION | Contact clustering and fusion for preprocessing multistatic active sonar data. | Evan Hanusa, David W. Krout, Maya R. Gupta |
| 2012 | ICASSP | Reliable early classification of time series. | Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta |
| 2012 | ICML | Dimensionality Reduction by Local Discriminative Gaussians. | Nathan Parrish, Maya R. Gupta |
| 2011 | FUSION | Minimizing bearing bias in tracking by de-coupled rotation and translation estimates. | Raman Arora, Maya R. Gupta |
| 2011 | FUSION | Clutter rejection by clustering likelihood-based similarities. | Evan Hanusa, David W. Krout, Maya R. Gupta |
| 2011 | ICML | Clustering by Left-Stochastic Matrix Factorization. | Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel |
| 2010 | FUSION | Estimation of position from multistatic Doppler measurements. | Evan Hanusa, David W. Krout, Maya R. Gupta |
| 2010 | FUSION | Robust sequential classification of tracks. | Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta |
| 2010 | ICASSP | Training a support vector machine to classify signals in a real environment given clean training data. | Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson |
| 2009 | CEC | Gradient estimation in global optimization algorithms. | Megan Hazen, Maya R. Gupta |
| 2009 | FUSION | Fusing similarities and Euclidean features with generative classifiers. | Luca Cazzanti, Maya R. Gupta, Santosh Srivastava |
| 2009 | FUSION | Fusing similarities and kernels for classification. | Yihua Chen, Maya R. Gupta |
| 2009 | FUSION | Sequential Bayesian estimation of the probability of detection for tracking. | Kevin G. Jamieson, Maya R. Gupta, David W. Krout |
| 2009 | ICASSP | Part-of-speech histograms for genre classification of text. | Sergey Feldman, Marius A. Marin, Mari Ostendorf, Maya R. Gupta |
| 2009 | ICASSP | Filtering web text to match target genres. | Marius A. Marin, Sergey Feldman, Mari Ostendorf, Maya R. Gupta |
| 2009 | ICASSP | Estimating multiple transmitter locations from power measurements at multiple receivers. | Jill K. Nelson, Jaime E. Almodovar, Maya R. Gupta, William H. Mortensen |
| 2009 | ICML | Learning kernels from indefinite similarities. | Yihua Chen, Maya R. Gupta, Benjamin Recht |
| 2009 | ICMLA | Regularizing the Local Similarity Discriminant Analysis Classifier. | Luca Cazzanti, Maya R. Gupta |
| 2008 | ICIP | Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management. | Nasiha Hrustemovic, Maya R. Gupta |
| 2008 | ICML | Cost-sensitive multi-class classification from probability estimates. | Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray |
| 2008 | ISIT | Functional Bregman divergence. | Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta |
| 2008 | ISIT | Bayesian estimation of the entropy of the multivariate Gaussian. | Santosh Srivastava, Maya R. Gupta |
| 2007 | CISS | An EM Technique for Multiple Transmitter Localization. | Jill K. Nelson, Maya R. Gupta |
| 2007 | ICASSP | Joint Deconvolution and Classification for Signals with Multipath. | Maya R. Gupta, Hyrum S. Anderson, Yihua Chen |
| 2007 | ICASSP | Beamforming Alternatives for Multi-Channel Transient Acoustic Event Classification. | Brandon Smith, Les E. Atlas, Maya R. Gupta |
| 2007 | ICIP | Color Management of Printers by Regression over Enclosing Neighborhoods. | Erika M. Chin, Eric K. Garcia, Maya R. Gupta |
| 2007 | ICIP | SNR-Adaptive Linear Fusion of Hyperspectral Images for Color Display. | Nathaniel P. Jacobson, Maya R. Gupta |
| 2007 | ICML | Local similarity discriminant analysis. | Luca Cazzanti, Maya R. Gupta |
| 2007 | ISIT | Maximum Entropy Generative Models for Similarity-based Learning. | Maya R. Gupta, Luca Cazzanti, Anjali J. Koppal |
| 2006 | CEC | A Multiresolutional Estimated Gradient Architecture for Global Optimization. | Megan Hazen, Maya R. Gupta |
| 2006 | ICIP | Wavelet Principal Component Analysis and its Application to Hyperspectral Images. | Maya R. Gupta, Nathaniel P. Jacobson |
| 2006 | ISIT | Information-theoretic and Set-theoretic Similarity. | Luca Cazzanti, Maya R. Gupta |
| 2006 | ISIT | Distribution-based Bayesian Minimum Expected Risk for Discriminant Analysis. | Santosh Srivastava, Maya R. Gupta |
| 2005 | DCC | Segmenting for Wavelet Compression. | Maya R. Gupta, Andrey Stroilov |
| 2005 | ICIP | Custom color enhancements by statistical learning. | Maya R. Gupta |
| 2005 | ICIP | Design goals and solutions for display of hyperspectral images. | Nathaniel P. Jacobson, Maya R. Gupta |
| 2004 | ISIT | A principle of minimum expected risk. | Maya R. Gupta |
| 2003 | ICIP | Analysis and classification of internal pipeline images. | Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray, Jon Kristian Hagene |
| 2001 | ICIP | Color conversions using maximum entropy estimation. | Maya R. Gupta, Robert M. Gray |
| 2000 | ICIP | Block Color Quantization: A New Method for Color Halftoning. | Maya R. Gupta, Michael J. Gormish, David G. Stork |