Vishnoi, Nisheeth

13 publications

NeurIPS 2022 Fair Ranking with Noisy Protected Attributes Anay Mehrotra, Nisheeth Vishnoi

NeurIPS 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion Oren Mangoubi, Nisheeth Vishnoi

NeurIPS 2022 Sampling from Log-Concave Distributions with Infinity-Distance Guarantees Oren Mangoubi, Nisheeth Vishnoi

NeurIPS 2021 Coresets for Time Series Clustering Lingxiao Huang, K Sudhir, Nisheeth Vishnoi

NeurIPS 2021 Fair Classification with Adversarial Perturbations L. Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi

NeurIPS 2020 Coresets for Regressions with Panel Data Lingxiao Huang, K Sudhir, Nisheeth Vishnoi

ICML 2020 Data Preprocessing to Mitigate Bias: A Maximum Entropy Based Approach L. Elisa Celis, Vijay Keswani, Nisheeth Vishnoi

NeurIPS 2019 Coresets for Clustering with Fairness Constraints Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi

NeurIPS 2019 Online Sampling from Log-Concave Distributions Holden Lee, Oren Mangoubi, Nisheeth Vishnoi

ICML 2019 Stable and Fair Classification Lingxiao Huang, Nisheeth Vishnoi

ICML 2019 Toward Controlling Discrimination in Online Ad Auctions Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi

NeurIPS 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo Oren Mangoubi, Nisheeth Vishnoi

ICML 2018 Fair and Diverse DPP-Based Data Summarization Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth Vishnoi