Anari, Nima

12 publications

ICML 2025 Diffusion Models Are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari

COLT 2024 Fast Parallel Sampling Under Isoperimetry Nima Anari, Sinho Chewi, Thuy-Duong Vuong

NeurIPS 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICMLW 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICMLW 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

COLT 2022 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization Nima Anari, Thuy-Duong Vuong

CoRL 2021 Learning Multimodal Rewards from Rankings Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh

COLT 2021 The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford

NeurIPS 2020 Instance Based Approximations to Profile Maximum Likelihood Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford

AISTATS 2019 Structured Robust Submodular Maximization: Offline and Online Algorithms Nima Anari, Nika Haghtalab, Seffi Naor, Sebastian Pokutta, Mohit Singh, Alfredo Torrico

NeurIPS 2018 Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons Nima Anari, Constantinos Daskalakis, Wolfgang Maass, Christos Papadimitriou, Amin Saberi, Santosh Vempala

COLT 2016 Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari, Shayan Oveis Gharan, Alireza Rezaei