Nisheeth K. Vishnoi

Full Professor@Yale University·美国·OpenReview

研究方向

Convex optimization · Sampling · Algorithmic fairness · Partition functions · Maximum entropy · Discrete optimization · Dynamical systems · Natural Algorithms · Determinantal Point Processes · Markov chain monte carlo

8.9

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy

NeurIPS 2025Oral

三作

8.2

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

ICLR 2024Poster

二作

5.5

Coresets for Clustering with Noisy Data

合作者 (11)

Nisheeth K. Vishnoi

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy

Matchings Under Biased and Correlated Evaluations

Strategic Costs of Perceived Bias in Fair Selection

Coresets for Clustering Under Stochastic Noise

Efficient Diffusion Models for Symmetric Manifolds

Perturbation Bounds for Low-Rank Inverse Approximations under Noise

A Mathematical Framework for AI-Human Integration in Work

Efficient Diffusion Models for Symmetric Manifolds

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

Coresets for Clustering with Noisy Data