Polynomial stochastic games via sum of squares optimization. - Parikshit Shah; Pablo A. Parrilo (CDC, 2007)

A partial order approach to decentralized control of spatially invariant systems. - Parikshit Shah; Pablo A. Parrilo (Allerton, 2008)

A Partial order approach to decentralized control. - Parikshit Shah; Pablo A. Parrilo (CDC, 2008)

A poset framework to model decentralized control problems. - Parikshit Shah; Pablo A. Parrilo (CDC, 2009)

ℋ2-optimal decentralized control over posets: A state space solution for state-feedback. - Parikshit Shah; Pablo A. Parrilo (CDC, 2010)

Iterative projections for signal identification on manifolds: Global recovery guarantees. - Parikshit Shah; Venkat Chandrasekaran (Allerton, 2011)

An optimal controller architecture for poset-causal systems. - Parikshit Shah; Pablo A. Parrilo (CDC/ECC, 2011)

H_2-Optimal Decentralized Control over Posets: A State-Space Solution for State-Feedback - Parikshit Shah; Pablo A. Parrilo (CoRR, 2011)

Covariance sketching. - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (Allerton Conference, 2012)

Compressive sensing off the grid. - Gongguo Tang; Badri Narayan Bhaskar; Parikshit Shah; Benjamin Recht (Allerton Conference, 2012)

On the fully decentralized two-block H2 model matching with one-sided dynamics. - Maxim Kristalny; Parikshit Shah (ACC, 2012)

Linear system identification via atomic norm regularization. - Parikshit Shah; Badri Narayan Bhaskar; Gongguo Tang; Benjamin Recht (CDC, 2012)

Group symmetry and covariance regularization. - Parikshit Shah; Venkat Chandrasekaran (CISS, 2012)

A greedy forward-backward algorithm for atomic norm constrained minimization. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001; Robert D. Nowak (ICASSP, 2013)

Sketching Sparse Matrices - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (CoRR, 2013)

H2 -Optimal Decentralized Control Over Posets: A State-Space Solution for State-Feedback. - Parikshit Shah; Pablo A. Parrilo (IEEE Trans. Autom. Control., 2013)

Compressed Sensing Off the Grid. - Gongguo Tang; Badri Narayan Bhaskar; Parikshit Shah; Benjamin Recht (IEEE Trans. Inf. Theory, 2013)

Forward - Backward greedy algorithms for signal demixing. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001 (ACSSC, 2014)

Robust line spectral estimation. - Gongguo Tang; Parikshit Shah; Badri Narayan Bhaskar; Benjamin Recht (ACSSC, 2014)

Conic geometric programming. - Venkat Chandrasekaran; Parikshit Shah (CISS, 2014)

Guaranteed Tensor Decomposition: A Moment Approach. - Gongguo Tang; Parikshit Shah (ICML, 2015)

Sparse and Low-Rank Tensor Decomposition. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (NIPS, 2015)

Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (CoRR, 2015)

Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products. - Gautam Dasarathy; Parikshit Shah; Badri Narayan Bhaskar; Robert D. Nowak (IEEE Trans. Inf. Theory, 2015)

Forward-Backward Greedy Algorithms for Atomic Norm Regularization. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001 (IEEE Trans. Signal Process., 2015)

Relative Entropy Relaxations for Signomial Optimization. - Venkat Chandrasekaran; Parikshit Shah (SIAM J. Optim., 2016)

Sketched covariance testing: A compression-statistics tradeoff. - Gautam Dasarathy; Parikshit Shah; Richard G. Baraniuk (ISIT, 2017)

Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. - Parikshit Shah; Akshay Soni; Troy Chevalier (KDD, 2017)

A Practical Exploration System for Search Advertising. - Parikshit Shah; Ming Yang 042; Sachidanand Alle; Adwait Ratnaparkhi; Ben Shahshahani; Rohit Chandra (KDD, 2017)

Relative entropy optimization and its applications. - Venkat Chandrasekaran; Parikshit Shah (Math. Program., 2017)

Robust Market Equilibria with Uncertain Preferences. - Riley Murray; Christian Kroer; Alex Peysakhovich; Parikshit Shah (AAAI, 2020)

Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood. - Armeen Taeb; Parikshit Shah; Venkat Chandrasekaran (CoRR, 2020)

QUEST: Queue Simulation for Content Moderation at Scale. - Rahul Makhijani; Parikshit Shah; Vashist Avadhanula; Caner Gocmen; Nicolás E. Stier Moses; Julián Mestre (CoRR, 2021)

Robust and fair work allocation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses (CoRR, 2022)

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. - Vashist Avadhanula; Omar Abdul Baki; Hamsa Bastani; Osbert Bastani; Caner Gocmen; Daniel Haimovich; Darren Hwang; Dima Karamshuk; Thomas J. Leeper; Jiayuan Ma; Gregory Macnamara; Jake Mullett; et al. (CoRR, 2022)

Fair Allocation Over Time, with Applications to Content Moderation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Nona Bohanon; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses; Ken Rodríguez Taarup (KDD, 2023)