Parikshit Shah

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 13

Top Topics

Greedy Algorithm

Tensor Decomposition

Relative Entropy

Top Venues

IEEE Trans. Inf. Theory

Publications

Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup
Fair Allocation Over Time, with Applications to Content Moderation. KDD (2023)
Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses
Robust and fair work allocation. CoRR (2022)
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, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR (2022)
Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier Moses, Julián Mestre
QUEST: Queue Simulation for Content Moderation at Scale. CoRR (2021)
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood. CoRR (2020)
Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah
Robust Market Equilibria with Uncertain Preferences. AAAI (2020)
Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah
Robust Market Equilibria with Uncertain Preferences. CoRR (2019)
Parikshit Shah, Akshay Soni, Troy Chevalier
Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping. KDD (2017)
Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk
Sketched covariance testing: A compression-statistics tradeoff. ACSSC (2017)
Parikshit Shah, Ming Yang, Sachidanand Alle, Adwait Ratnaparkhi, Ben Shahshahani, Rohit Chandra
A Practical Exploration System for Search Advertising. KDD (2017)
Gautam Dasarathy, Parikshit Shah, Richard G. Baraniuk
Sketched covariance testing: A compression-statistics tradeoff. ISIT (2017)
Venkat Chandrasekaran, Parikshit Shah
Relative entropy optimization and its applications. Math. Program. 161 (1-2) (2017)
Venkat Chandrasekaran, Parikshit Shah
Relative Entropy Relaxations for Signomial Optimization. SIAM J. Optim. 26 (2) (2016)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward-Backward Greedy Algorithms for Atomic Norm Regularization. IEEE Trans. Signal Process. 63 (21) (2015)
Gongguo Tang, Parikshit Shah
Guaranteed Tensor Decomposition: A Moment Approach. ICML (2015)
Parikshit Shah, Nikhil S. Rao, Gongguo Tang
Sparse and Low-Rank Tensor Decomposition. NIPS (2015)
Parikshit Shah, Nikhil S. Rao, Gongguo Tang
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice. CoRR (2015)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products. IEEE Trans. Inf. Theory 61 (3) (2015)
Venkat Chandrasekaran, Parikshit Shah
Conic geometric programming. CISS (2014)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward - Backward Greedy Algorithms for Atomic Norm Regularization. CoRR (2014)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright
Forward - Backward greedy algorithms for signal demixing. ACSSC (2014)
Gongguo Tang, Parikshit Shah, Badri Narayan Bhaskar, Benjamin Recht
Robust line spectral estimation. ACSSC (2014)
Nikhil S. Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak
A greedy forward-backward algorithm for atomic norm constrained minimization. ICASSP (2013)
Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht
Compressed Sensing Off the Grid. IEEE Trans. Inf. Theory 59 (11) (2013)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Sketching Sparse Matrices CoRR (2013)
Parikshit Shah, Pablo A. Parrilo
-Optimal Decentralized Control Over Posets: A State-Space Solution for State-Feedback. IEEE Trans. Autom. Control. 58 (12) (2013)
Parikshit Shah, Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht
Linear system identification via atomic norm regularization. CDC (2012)
Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht
Compressive sensing off the grid. Allerton Conference (2012)
Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht
Compressed Sensing off the Grid CoRR (2012)
Gautam Dasarathy, Parikshit Shah, Badri Narayan Bhaskar, Robert D. Nowak
Covariance sketching. Allerton Conference (2012)
Parikshit Shah, Venkat Chandrasekaran
Group symmetry and covariance regularization. CISS (2012)
Maxim Kristalny, Parikshit Shah
model matching with one-sided dynamics. ACC (2012)
Parikshit Shah, Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht
Linear System Identification via Atomic Norm Regularization CoRR (2012)
Parikshit Shah, Venkat Chandrasekaran
Iterative projections for signal identification on manifolds: Global recovery guarantees. Allerton (2011)
Parikshit Shah, Pablo A. Parrilo
H_2-Optimal Decentralized Control over Posets: A State-Space Solution for State-Feedback CoRR (2011)
Parikshit Shah, Pablo A. Parrilo
An optimal controller architecture for poset-causal systems. CDC/ECC (2011)
Parikshit Shah, Pablo A. Parrilo
An Optimal Controller Architecture for Poset-Causal Systems. CoRR (2011)
Parikshit Shah, Pablo A. Parrilo
ℋ2-optimal decentralized control over posets: A state space solution for state-feedback. CDC (2010)
Parikshit Shah, Pablo A. Parrilo
A poset framework to model decentralized control problems. CDC (2009)
Parikshit Shah, Pablo A. Parrilo
Polynomial stochastic games via sum of squares optimization CoRR (2008)
Parikshit Shah, Pablo A. Parrilo
A partial order approach to decentralized control of spatially invariant systems. Allerton (2008)
Parikshit Shah, Pablo A. Parrilo
A Partial order approach to decentralized control. CDC (2008)
Parikshit Shah, Pablo A. Parrilo
Polynomial stochastic games via sum of squares optimization. CDC (2007)