Rajiv Khanna

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Precise Characterization of SGD Stability Using Loss Surface Geometry.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On Memorization and Privacy risks of Sharpness Aware Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Space Sketching for Logistic Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Generalization Guarantees via Algorithm-dependent Rademacher Complexity.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Fast Feature Selection with Fairness Constraints.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Generalization Properties of Stochastic Optimizers via Trajectory Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

LocalNewton: Reducing Communication Bottleneck for Distributed Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Geometric rates of convergence for kernel-based sampling algorithms.

[BibT_eX]

[DOI]

Liam Hodgkinson

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

LocalNewton: Reducing communication rounds for distributed learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract).

[BibT_eX]

[DOI]

Michal Derezinski

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective.

[BibT_eX]

[DOI]

Jacky Zhang

Sanmi Koyejo

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Adversarially-Trained Deep Nets Transfer Better.

[BibT_eX]

[DOI]

CoRR, 2020

Bayesian Coresets: An Optimization Perspective.

[BibT_eX]

[DOI]

Jacky Y. Zhang

Oluwasanmi Koyejo

CoRR, 2020

Improved guarantees and a multiple-descent curve for the Column Subset Selection Problem and the Nyström method.

[BibT_eX]

[DOI]

Michal Derezinski

CoRR, 2020

Boundary thickness and robustness in learning models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method.

[BibT_eX]

[DOI]

Michal Derezinski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On Linear Convergence of Weighted Kernel Herding.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Sparse Distributions using Iterative Hard Thresholding.

[BibT_eX]

[DOI]

Jacky Y. Zhang

Oluwasanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interpreting Black Box Predictions using Fisher Kernels.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Co-regularized Monotone Retargeting for Semi-supervised LeTOR.

[BibT_eX]

[DOI]

Shalmali Joshi

Joydeep Ghosh

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Boosting Black Box Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Boosting Variational Inference: an Optimization Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

IHT dies hard: Provable accelerated Iterative Hard Thresholding.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

On Approximation Guarantees for Greedy Low Rank Optimization.

[BibT_eX]

[DOI]

CoRR, 2017

A Deflation Method for Structured Probabilistic PCA.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

On Approximation Guarantees for Greedy Low Rank Optimization.

[BibT_eX]

[DOI]

Joydeep Ghosh

Proceedings of the 34th International Conference on Machine Learning, 2017

A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Information Projection and Approximate Inference for Structured Sparse Variables.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Greedy Feature Selection via Weak Submodularity.

[BibT_eX]

[DOI]

Joydeep Ghosh

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Pursuits in Structured Non-Convex Matrix Factorizations.

[BibT_eX]

[DOI]

Michael Tschannen

Martin Jaggi

CoRR, 2016

Restricted Strong Convexity Implies Weak Submodularity.

[BibT_eX]

[DOI]

CoRR, 2016

Examples are not enough, learn to criticize! Criticism for Interpretability.

[BibT_eX]

[DOI]

Been Kim

Oluwasanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Towards a Better Understanding of Predict and Count Models.

[BibT_eX]

[DOI]

S. Sathiya Keerthi

Tobias Schnabel

CoRR, 2015

Sparse Submodular Probabilistic PCA.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

On Prior Distributions and Approximate Inference for Structured Variables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Parallel matrix factorization for binary response.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2010

Estimating rates of rare events with multiple hierarchies through scalable log-linear models.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Translating relevance scores to probabilities for contextual advertising.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Structured learning for non-smooth ranking losses.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

1997

Prolog to: Evaluation Of Automated Biometrics-based Identification And Verification Systems.

[BibT_eX]

[DOI]

Proc. IEEE, 1997

Prolog to: Speaker Recognition: A Tutorial.

[BibT_eX]

[DOI]

Proc. IEEE, 1997

Prolog to: Face Recognition: Eigenface, Elastic Matching, And Neural Nets.

[BibT_eX]

[DOI]

Proc. IEEE, 1997

Prolog to: Fingerprint Features: Statistical Analysis And System Performance Estimates.

[BibT_eX]

[DOI]

Proc. IEEE, 1997

Prolog to: An Identity-authentication System Using Fingerprints.

[BibT_eX]

[DOI]

Proc. IEEE, 1997

Prolog to: Iris Recognition: An Emerging Biometric Technology.

[BibT_eX]

[DOI]