Maya R. Gupta

124 papers A* 21A 1B 12C 9Misc 6Journal 49Unranked 26
YearRankTypeTitle / Venue / Authors
2024 J jnl
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation.
Trans. Mach. Learn. Res.
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2022 A* conf
Global Optimization Networks.
ICML
Sen Zhao, Erez Louidor, Maya R. Gupta
2022 J jnl
Global Optimization Networks.
CoRR
Sen Zhao, Erez Louidor, Oleksandr Mangylov, Maya R. Gupta
2021 A* conf
Bootstrapping for Batch Active Sampling.
KDD
Heinrich Jiang, Maya R. Gupta
2021 J jnl
Fast Linear Interpolation.
ACM J. Emerg. Technol. Comput. Syst.
Nathan Zhang, Kevin Robert Canini, Sean Silva, Maya R. Gupta
2021 J jnl
Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering.
ACM J. Emerg. Technol. Comput. Syst.
Serena Lutong Wang, Maya R. Gupta, Seungil You
2021 J jnl
Regularization Strategies for Quantile Regression.
CoRR
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2020 A* conf
Deep k-NN for Noisy Labels.
ICML
Dara Bahri, Heinrich Jiang, Maya R. Gupta
2020 J jnl
Deep k-NN for Noisy Labels.
CoRR
Dara Bahri, Heinrich Jiang, Maya R. Gupta
2020 A conf
Deontological Ethics By Monotonicity Shape Constraints.
AISTATS
Serena Lutong Wang, Maya R. Gupta
2020 J jnl
Deontological Ethics By Monotonicity Shape Constraints.
CoRR
Serena Lutong Wang, Maya R. Gupta
2020 A* conf
Multidimensional Shape Constraints.
ICML
Maya R. Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao
2020 A* conf
Optimizing Black-box Metrics with Adaptive Surrogates.
ICML
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2020 J jnl
Optimizing Black-box Metrics with Adaptive Surrogates.
CoRR
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta
2020 A* conf
Pairwise Fairness for Ranking and Regression.
AAAI
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2020 A* conf
Robust Optimization for Fairness with Noisy Protected Groups.
NeurIPS
Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2020 J jnl
Robust Optimization for Fairness with Noisy Protected Groups.
CoRR
Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2019 A* conf
Metric-Optimized Example Weights.
ICML
Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta
2019 J jnl
Minimum-Margin Active Learning.
CoRR
Heinrich Jiang, Maya R. Gupta
2019 A* conf
On Making Stochastic Classifiers Deterministic.
NeurIPS
Andrew Cotter, Maya R. Gupta, Harikrishna Narasimhan
2019 J jnl
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
J. Mach. Learn. Res.
Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Lutong Wang, Taman Narayan, Seungil You, Karthik Sridharan
2019 J jnl
Optimizing Generalized Rate Metrics through Game Equilibrium.
CoRR
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019 A* conf
Optimizing Generalized Rate Metrics with Three Players.
NeurIPS
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta
2019 J jnl
Pairwise Fairness for Ranking and Regression.
CoRR
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2019 A* conf
Shape Constraints for Set Functions.
ICML
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2019 A* conf
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints.
ICML
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You
2018 A* conf
Constrained Interacting Submodular Groupings.
ICML
Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes
2018 A* conf
Diminishing Returns Shape Constraints for Interpretability and Regularization.
NeurIPS
Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Robert Canini
2018 J jnl
Interpretable Set Functions.
CoRR
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2018 J jnl
Metric-Optimized Example Weights.
CoRR
Sen Zhao, Mahdi Milani Fard, Maya R. Gupta
2018 J jnl
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
CoRR
Andrew Cotter, Heinrich Jiang, Serena Lutong Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan
2018 J jnl
Proxy Fairness.
CoRR
Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang
2018 J jnl
Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization.
CoRR
Serena Lutong Wang, Maya R. Gupta, Seungil You
2018 A* conf
To Trust Or Not To Trust A Classifier.
NeurIPS
Heinrich Jiang, Been Kim, Melody Y. Guan, Maya R. Gupta
2018 J jnl
To Trust Or Not To Trust A Classifier.
CoRR
Heinrich Jiang, Been Kim, Maya R. Gupta
2018 J jnl
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints.
CoRR
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You
2017 — conf
Deep Lattice Networks and Partial Monotonic Functions.
NIPS
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2017 J jnl
Deep Lattice Networks and Partial Monotonic Functions.
CoRR
Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2016 A* conf
A Light Touch for Heavily Constrained SGD.
COLT
Andrew Cotter, Maya R. Gupta, Jan Pfeifer
2016 — conf
Fast and Flexible Monotonic Functions with Ensembles of Lattices.
NIPS
Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta
2016 — conf
Launch and Iterate: Reducing Prediction Churn.
NIPS
Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta
2016 J jnl
Monotonic Calibrated Interpolated Look-Up Tables.
J. Mach. Learn. Res.
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck
2016 — conf
Satisfying Real-world Goals with Dataset Constraints.
NIPS
Gabriel Goh, Andrew Cotter, Maya R. Gupta, Michael P. Friedlander
2016 J jnl
Satisfying Real-world Goals with Dataset Constraints.
CoRR
Andrew Cotter, Michael P. Friedlander, Gabriel Goh, Maya R. Gupta
2015 J jnl
A Light Touch for Heavily Constrained SGD.
CoRR
Andrew Cotter, Maya R. Gupta, Jan Pfeifer
2015 J jnl
Monotonic Calibrated Interpolated Look-Up Tables.
CoRR
Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski
2014 J jnl
Revisiting Stein's paradox: multi-task averaging.
J. Mach. Learn. Res.
Sergey Feldman, Maya R. Gupta, Bela A. Frigyik
2014 J jnl
Training highly multiclass classifiers.
J. Mach. Learn. Res.
Maya R. Gupta, Samy Bengio, Jason Weston
2013 J jnl
Classifying with confidence from incomplete information.
J. Mach. Learn. Res.
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta, Dun-Yu Hsiao
2013 C conf
Contact clustering and fusion for preprocessing multistatic active sonar data.
FUSION
Evan Hanusa, David W. Krout, Maya R. Gupta
2013 J jnl
Similarity-based clustering by left-stochastic matrix factorization.
J. Mach. Learn. Res.
Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2012 J jnl
Bounds on the Bayes Error Given Moments.
IEEE Trans. Inf. Theory
Bela A. Frigyik, Maya R. Gupta
2012 J jnl
Dimensionality Reduction by Local Discriminative Gaussians
CoRR
Nathan Parrish, Maya R. Gupta
2012 A* conf
Dimensionality Reduction by Local Discriminative Gaussians.
ICML
Nathan Parrish, Maya R. Gupta
2012 — conf
Multi-Task Averaging.
NIPS
Sergey Feldman, Maya R. Gupta, Bela A. Frigyik
2012 J jnl
Optimized Regression for Efficient Function Evaluation.
IEEE Trans. Image Process.
Eric K. Garcia, Raman Arora, Maya R. Gupta
2012 Misc conf
Reliable early classification of time series.
ICASSP
Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta
2012 — conf
Subjective evaluations of example-based, total variation, and joint regularization for image processing.
Computational Imaging
Hyrum S. Anderson, Maya R. Gupta, Jon Yngve Hardeberg
2011 J jnl
Bounds on the Maximum Bayes Error Given Moments
CoRR
Bela A. Frigyik, Maya R. Gupta
2011 J jnl
Channel-Robust Classifiers.
IEEE Trans. Signal Process.
Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin Jamieson
2011 A* conf
Clustering by Left-Stochastic Matrix Factorization.
ICML
Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2011 C conf
Clutter rejection by clustering likelihood-based similarities.
FUSION
Evan Hanusa, David W. Krout, Maya R. Gupta
2011 C conf
Minimizing bearing bias in tracking by de-coupled rotation and translation estimates.
FUSION
Raman Arora, Maya R. Gupta
2011 — conf
Multi-task Regularization of Generative Similarity Models.
SIMBAD
Luca Cazzanti, Sergey Feldman, Maya R. Gupta, Michael Gabbay
2010 — conf
Bayesian and pairwise local similarity discriminant analysis.
CIP
Peter J. Sadowski, Luca Cazzanti, Maya R. Gupta
2010 J jnl
Completely Lazy Learning.
IEEE Trans. Knowl. Data Eng.
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, Santosh Srivastava
2010 C conf
Estimation of position from multistatic Doppler measurements.
FUSION
Evan Hanusa, David W. Krout, Maya R. Gupta
2010 — conf
Optimized Construction of ICC Profiles by Lattice Regression.
CIC
Eric K. Garcia, Maya R. Gupta
2010 J jnl
Parametric Bayesian Estimation of Differential Entropy and Relative Entropy.
Entropy
Maya R. Gupta, Santosh Srivastava
2010 C conf
Robust sequential classification of tracks.
FUSION
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta
2010 — conf
Shadow Dirichlet for Restricted Probability Modeling.
NIPS
Bela A. Frigyik, Maya R. Gupta, Yihua Chen
2010 J jnl
Theory and Use of the EM Algorithm.
Found. Trends Signal Process.
Maya R. Gupta, Yihua Chen
2010 Misc conf
Training a support vector machine to classify signals in a real environment given clean training data.
ICASSP
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson
2009 J jnl
A Quasi EM Method for Estimating Multiple Transmitter Locations.
IEEE Signal Process. Lett.
Jill K. Nelson, Maya R. Gupta, Jaime E. Almodovar, William H. Mortensen
2009 — conf
Building Accurate and Smooth ICC Profiles by Lattice Regression.
CIC
Eric K. Garcia, Maya R. Gupta
2009 Misc conf
Estimating multiple transmitter locations from power measurements at multiple receivers.
ICASSP
Jill K. Nelson, Jaime E. Almodovar, Maya R. Gupta, William H. Mortensen
2009 Misc conf
Filtering web text to match target genres.
ICASSP
Marius A. Marin, Sergey Feldman, Mari Ostendorf, Maya R. Gupta
2009 C conf
Fusing similarities and Euclidean features with generative classifiers.
FUSION
Luca Cazzanti, Maya R. Gupta, Santosh Srivastava
2009 C conf
Fusing similarities and kernels for classification.
FUSION
Yihua Chen, Maya R. Gupta
2009 B conf
Gradient estimation in global optimization algorithms.
IEEE Congress on Evolutionary Computation
Megan Hazen, Maya R. Gupta
2009 — conf
Joint deconvolution and imaging.
Computational Imaging
Hyrum S. Anderson, Maya R. Gupta
2009 — conf
Lattice Regression.
NIPS
Eric K. Garcia, Maya R. Gupta
2009 A* conf
Learning kernels from indefinite similarities.
ICML
Yihua Chen, Maya R. Gupta, Benjamin Recht
2009 Misc conf
Part-of-speech histograms for genre classification of text.
ICASSP
Sergey Feldman, Marius A. Marin, Mari Ostendorf, Maya R. Gupta
2009 C conf
Regularizing the Local Similarity Discriminant Analysis Classifier.
ICMLA
Luca Cazzanti, Maya R. Gupta
2009 C conf
Sequential Bayesian estimation of the probability of detection for tracking.
FUSION
Kevin G. Jamieson, Maya R. Gupta, David W. Krout
2009 J jnl
Similarity-based Classification: Concepts and Algorithms.
J. Mach. Learn. Res.
Yihua Chen, Eric K. Garcia, Maya R. Gupta, Ali Rahimi, Luca Cazzanti
2008 J jnl
Adaptive Local Linear Regression With Application to Printer Color Management.
IEEE Trans. Image Process.
Maya R. Gupta, Eric K. Garcia, E. Chin
2008 B conf
Bayesian estimation of the entropy of the multivariate Gaussian.
ISIT
Santosh Srivastava, Maya R. Gupta
2008 A* conf
Cost-sensitive multi-class classification from probability estimates.
ICML
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray
2008 J jnl
Functional Bregman Divergence and Bayesian Estimation of Distributions.
IEEE Trans. Inf. Theory
Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta
2008 B conf
Functional Bregman divergence.
ISIT
Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta
2008 J jnl
Generative models for similarity-based classification.
Pattern Recognit.
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
2008 J jnl
Learning custom color transformations with adaptive neighborhoods.
J. Electronic Imaging
Maya R. Gupta, Eric K. Garcia, Andrey Stroilov
2008 B conf
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management.
ICIP
Nasiha Hrustemovic, Maya R. Gupta
2007 Misc conf
An EM Technique for Multiple Transmitter Localization.
CISS
Jill K. Nelson, Maya R. Gupta
2007 J jnl
Bayesian Quadratic Discriminant Analysis.
J. Mach. Learn. Res.
Santosh Srivastava, Maya R. Gupta, Bela A. Frigyik
2007 — conf
Beamforming Alternatives for Multi-Channel Transient Acoustic Event Classification.
ICASSP (2)
Brandon Smith, Les E. Atlas, Maya R. Gupta
2007 — conf
Color Management of Printers by Regression over Enclosing Neighborhoods.
ICIP (2)
Erika M. Chin, Eric K. Garcia, Maya R. Gupta
2007 — conf
Joint Deconvolution and Classification for Signals with Multipath.
ICASSP (3)
Maya R. Gupta, Hyrum S. Anderson, Yihua Chen
2007 J jnl
Linear Fusion of Image Sets for Display.
IEEE Trans. Geosci. Remote. Sens.
Nathaniel P. Jacobson, Maya R. Gupta, Jeff B. Cole
2007 A* conf
Local similarity discriminant analysis.
ICML
Luca Cazzanti, Maya R. Gupta
2007 B conf
Maximum Entropy Generative Models for Similarity-based Learning.
ISIT
Maya R. Gupta, Luca Cazzanti, Anjali J. Koppal
2007 J jnl
OCR binarization and image pre-processing for searching historical documents.
Pattern Recognit.
Maya R. Gupta, Nathaniel P. Jacobson, Eric K. Garcia
2007 — conf
Ranked dither for robust color printing.
Color Imaging: Processing, Hardcopy, and Applications
Maya R. Gupta, Jayson Bowen
2007 — conf
SNR-Adaptive Linear Fusion of Hyperspectral Images for Color Display.
ICIP (3)
Nathaniel P. Jacobson, Maya R. Gupta
2006 B conf
A Multiresolutional Estimated Gradient Architecture for Global Optimization.
IEEE Congress on Evolutionary Computation
Megan Hazen, Maya R. Gupta
2006 B conf
Distribution-based Bayesian Minimum Expected Risk for Discriminant Analysis.
ISIT
Santosh Srivastava, Maya R. Gupta
2006 J jnl
Functional Bregman Divergence and Bayesian Estimation of Distributions
CoRR
Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta
2006 B conf
Information-theoretic and Set-theoretic Similarity.
ISIT
Luca Cazzanti, Maya R. Gupta
2006 J jnl
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy.
IEEE Trans. Pattern Anal. Mach. Intell.
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
2006 B conf
Wavelet Principal Component Analysis and its Application to Hyperspectral Images.
ICIP
Maya R. Gupta, Nathaniel P. Jacobson
2005 — conf
Custom color enhancements by statistical learning.
ICIP (3)
Maya R. Gupta
2005 — conf
Design goals and solutions for display of hyperspectral images.
ICIP (2)
Nathaniel P. Jacobson, Maya R. Gupta
2005 J jnl
Design goals and solutions for display of hyperspectral images.
IEEE Trans. Geosci. Remote. Sens.
Nathaniel P. Jacobson, Maya R. Gupta
2005 B conf
Segmenting for Wavelet Compression.
DCC
Maya R. Gupta, Andrey Stroilov
2005 — conf
Simulating the effect of illumination using color transformations.
Computational Imaging
Maya R. Gupta, Stephen Upton, Jayson Bowen
2004 B conf
A principle of minimum expected risk.
ISIT
Maya R. Gupta
2004 — conf
Inverting color transforms.
Computational Imaging
Maya R. Gupta
2003 — conf
Analysis and classification of internal pipeline images.
ICIP (3)
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray, Jon Kristian Hagene
2003 — conf
Halftoning on the wavelet domain.
Color Imaging: Processing, Hardcopy, and Applications
Maya R. Gupta
2002 — conf
Two-stage color palettization for error diffusion.
Human Vision and Electronic Imaging
Niloy J. Mitra, Maya R. Gupta
2001 — conf
Color conversions using maximum entropy estimation.
ICIP (1)
Maya R. Gupta, Robert M. Gray
2000 B conf
Block Color Quantization: A New Method for Color Halftoning.
ICIP
Maya R. Gupta, Michael J. Gormish, David G. Stork