Vamsi K. Potluru

57 papers A* 7A 8B 1C 1Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Auditing and Enforcing Conditional Fairness via Optimal Transport. AAAI Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	J	`jnl`	Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling. CoRR Kulunu Dharmakeerthi, Yousef El-Laham, Henry H. Wong, Vamsi K. Potluru, Changhong He, Taosong He
2025	A	`conf`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. UAI Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025	J	`jnl`	Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. CoRR Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
2025	A	`conf`	Mixup Regularization: A Probabilistic Perspective. UAI Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Mixup Regularization: A Probabilistic Perspective. CoRR Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering. CoRR Penghang Liu, Elizabeth Fons, Svitlana Vyetrenko, Daniel Borrajo, Vamsi K. Potluru, Manuela Veloso
2025	J	`jnl`	Toward Breaking Watermarks in Distortion-free Large Language Models. CoRR Shayleen Reynolds, Saheed Obitayo, Niccolò Dalmasso, Dung Daniel T. Ngo, Vamsi K. Potluru, Manuela Veloso
2025	A*	`conf`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. ICML Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2024	J	`jnl`	Adaptive and Robust Watermark for Generative Tabular Data. CoRR Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso
2024	J	`jnl`	Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models. CoRR Yinan Cheng, Chi-hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
2024	A*	`conf`	Fair Wasserstein Coresets. NeurIPS Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lécué, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	A*	`conf`	FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024	J	`jnl`	GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Trans. Mach. Learn. Res. Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
2024	J	`jnl`	Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing. CoRR Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
2024	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2024	J	`jnl`	Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
2024	J	`jnl`	Synthetic Data Applications in Finance. CoRR Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
2024	J	`jnl`	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. CoRR Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2023	—	`conf`	A supervised generative optimization approach for tabular data. ICAIF Fadi Hamad, Shinpei Nakamura-Sakai, Saheed Obitayo, Vamsi K. Potluru
2023	J	`jnl`	A supervised generative optimization approach for tabular data. CoRR Fadi Hamad, Shinpei Nakamura-Sakai, Saheed Obitayo, Vamsi K. Potluru
2023	J	`jnl`	Differentially Private Synthetic Data Using KD-Trees. CoRR Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	A	`conf`	Differentially private synthetic data using KD-trees. UAI Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	—	`conf`	Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Fair Wasserstein Coresets. CoRR Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023	J	`jnl`	GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? CoRR Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
2023	J	`jnl`	On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2023	A	`conf`	Thresholded linear bandits. AISTATS Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen
2022	J	`jnl`	Bandit Sampling for Multiplex Networks. CoRR Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso
2022	J	`jnl`	Differentially Private Learning of Hawkes Processes. CoRR Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	J	`jnl`	Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis
2022	J	`jnl`	Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022	—	`conf`	Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
2022	J	`jnl`	Online Learning for Mixture of Multivariate Hawkes Processes. CoRR Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
2021	J	`jnl`	Graph Belief Propagation Networks. CoRR Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson
2020	A	`conf`	Automatic Differentiation of Sketched Regression. AISTATS Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff
2020	J	`jnl`	Goal recognition via model-based and model-free techniques. CoRR Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru
2020	A	`conf`	Heuristics for Link Prediction in Multiplex Networks. ECAI Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Heuristics for Link Prediction in Multiplex Networks. CoRR Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso
2019	A	`conf`	Conservative Exploration using Interleaving. AISTATS Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
2019	J	`jnl`	Grouped sparse projection. CoRR Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru
2018	J	`jnl`	Conservative Exploration using Interleaving. CoRR Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
2016	A*	`conf`	How to Fake Multiply by a Gaussian Matrix. ICML Michael Kapralov, Vamsi K. Potluru, David P. Woodruff
2016	J	`jnl`	How to Fake Multiply by a Gaussian Matrix. CoRR Michael Kapralov, Vamsi K. Potluru, David P. Woodruff
2014	J	`jnl`	High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun
2014	—	`conf`	The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun
2013	A*	`conf`	Block Coordinate Descent for Sparse NMF ICLR (Poster) Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes
2012	A*	`conf`	Frugal Coordinate Descent for Large-Scale NNLS. AAAI Vamsi K. Potluru
2011	J	`jnl`	Correlated Noise: How it Breaks NMF, and What to Do About it. J. Signal Process. Syst. Sergey M. Plis, Vamsi K. Potluru, Terran Lane, Vince D. Calhoun
2011	B	`conf`	Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. IJCNN Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes
2011	—	`conf`	Understanding and Exploiting the Connections between NMF and SVM. ICDM Workshops Vamsi K. Potluru
2009	A	`conf`	Efficient Multiplicative Updates for Support Vector Machines. SDM Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane
2009	J	`jnl`	Multiplicative updates For Non-Negative Kernel SVM CoRR Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane
2008	C	`conf`	Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia. ISCAS Vamsi K. Potluru, Vince D. Calhoun