Vishnoi, Nisheeth K

23 publications

ICML 2025 A Mathematical Framework for AI-Human Integration in Work L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

NeurIPS 2025 Coresets for Clustering Under Stochastic Noise Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi, Runkai Yang, Haoyu Zhao

ICML 2025 Efficient Diffusion Models for Symmetric Manifolds Oren Mangoubi, Neil He, Nisheeth K. Vishnoi

NeurIPS 2025 Matchings Under Biased and Correlated Evaluations Amit Kumar, Nisheeth K. Vishnoi

NeurIPS 2025 Perturbation Bounds for Low-Rank Inverse Approximations Under Noise Phuc Tran, Nisheeth K. Vishnoi

NeurIPS 2025 Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy Phuc Tran, Van Vu, Nisheeth K. Vishnoi

NeurIPS 2025 Strategic Costs of Perceived Bias in Fair Selection L. Elisa Celis, Lingxiao Huang, Milind Sohoni, Nisheeth K. Vishnoi

ICML 2024 Centralized Selection with Preferences in the Presence of Biases L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, Andrew Xu

ICLR 2024 Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers Oren Mangoubi, Nisheeth K. Vishnoi

NeurIPS 2023 Bias in Evaluation Processes: An Optimization-Based Model L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi

COLT 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations Oren Mangoubi, Nisheeth K. Vishnoi

NeurIPS 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk Oren Mangoubi, Nisheeth K. Vishnoi

ICML 2023 Subset Selection Based on Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi

ICML 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi

COLT 2022 Private Matrix Approximation and Geometry of Unitary Orbits Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Thakurta, Nisheeth K. Vishnoi

ICML 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi

COLT 2019 Maximum Entropy Distributions: Bit Complexity and Stability Damian Straszak, Nisheeth K. Vishnoi

COLT 2019 Nonconvex Sampling with the Metropolis-Adjusted Langevin Algorithm Oren Mangoubi, Nisheeth K Vishnoi

IJCAI 2018 Balanced News Using Constrained Bandit-Based Personalization Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis

COLT 2018 Convex Optimization with Unbounded Nonconvex Oracles Using Simulated Annealing Oren Mangoubi, Nisheeth K. Vishnoi

IJCAI 2018 Multiwinner Voting with Fairness Constraints L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

JMLR 2012 A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi

CVPR 2011 Biased Normalized Cuts Subhransu Maji, Nisheeth K. Vishnoi, Jitendra Malik