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Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence


Apr 06, 2022
Nima Anari, Yang P. Liu, Thuy-Duong Vuong


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Learning Multimodal Rewards from Rankings


Oct 18, 2021
Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh

* 17 pages, 12 figures, 2 tables. Published at Conference on Robot Learning (CoRL) 2021 

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Simple and Near-Optimal MAP Inference for Nonsymmetric DPPs


Feb 10, 2021
Nima Anari, Thuy-Duong Vuong


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Instance Based Approximations to Profile Maximum Likelihood


Nov 05, 2020
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford

* Accepted at Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood


Apr 06, 2020
Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford

* 59 pages 

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Batch Active Learning Using Determinantal Point Processes


Jun 19, 2019
Erdem Bıyık, Kenneth Wang, Nima Anari, Dorsa Sadigh

* Submitted to NeurIPS 2019 

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Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons


Oct 28, 2018
Nima Anari, Constantinos Daskalakis, Wolfgang Maass, Christos H. Papadimitriou, Amin Saberi, Santosh Vempala

* To appear in NIPS 2018 

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Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes


Mar 24, 2016
Nima Anari, Shayan Oveis Gharan, Alireza Rezaei


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