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Parthe Pandit
Parthe Pandit
HDSI-Simons Postdoctoral Fellow at Halıcıoğlu Data Science Institute, UCSD
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Plug in estimation in high dimensional linear inverse problems: A rigorous analysis
AK Fletcher, P Pandit, S Rangan, S Sarkar, P Schniter
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124021, 2019
582019
Inference with deep generative priors in high dimensions
P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher
IEEE Journal on Selected Areas in Information Theory 1 (1), 336-347, 2020
292020
Generalization error of generalized linear models in high dimensions
M Emami, M Sahraee-Ardakan, P Pandit, S Rangan, A Fletcher
International Conference on Machine Learning, 2892-2901, 2020
212020
Asymptotics of MAP inference in deep networks
P Pandit, M Sahraee, S Rangan, AK Fletcher
2019 IEEE International Symposium on Information Theory (ISIT), 842-846, 2019
192019
Structural segmentation of Hindustani concert audio with Posterior features
P Verma, TP Vinutha, P Pandit, P Rao
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
142015
Refinement of the equilibrium of public goods games over networks: Efficiency and effort of specialized equilibria
P Pandit, AA Kulkarni
Journal of Mathematical Economics 79, 125-139, 2018
82018
Matrix inference and estimation in multi-layer models
P Pandit, M Sahraee Ardakan, S Rangan, P Schniter, AK Fletcher
Advances in Neural Information Processing Systems 33, 2020
62020
Implicit bias of linear RNNs
M Emami, M Sahraee-Ardakan, P Pandit, S Rangan, AK Fletcher
International Conference on Machine Learning, 2982-2992, 2021
42021
Discount-based pricing and capacity planning for ev charging under stochastic demand
P Pandit, S Coogan
2018 Annual American Control Conference (ACC), 6273-6278, 2018
42018
Generalized autoregressive linear models for discrete high-dimensional data
P Pandit, M Sahraee-Ardakan, AA Amini, S Rangan, AK Fletcher
IEEE Journal on Selected Areas in Information Theory 1 (3), 884-896, 2020
32020
Inference in multi-layer networks with matrix-valued unknowns
P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher
arXiv preprint arXiv:2001.09396, 2020
32020
Low-rank nonlinear decoding of -ECoG from the primary auditory cortex
M Emami, M Sahraee-Ardakan, P Pandit, AK Fletcher, S Rangan, ...
Conference on Cognitive Computational Neuroscience, 2018
32018
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs
P Pandit, AA Kulkarni
Discrete Applied Mathematics 244, 155-169, 2018
32018
Sparse multivariate Bernoulli processes in high dimensions
P Pandit, M Sahraee-Ardakan, A Amini, S Rangan, AK Fletcher
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
22019
High-dimensional Bernoulli Autoregressive process with long-range dependence
P Pandit, M Sahraee-Ardakan, AA Amini, S Rangan, AK Fletcher
arXiv preprint arXiv:1903.09631, 2019
22019
Matrix inference and estimation in multi-layer models
P Pandit, M Sahraee-Ardakan, S Rangan, P Schniter, AK Fletcher
Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124004, 2021
12021
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting
N Mallinar, JB Simon, A Abedsoltan, P Pandit, M Belkin, P Nakkiran
arXiv preprint arXiv:2207.06569, 2022
2022
A note on Linear Bottleneck networks and their Transition to Multilinearity
L Zhu, P Pandit, M Belkin
arXiv preprint arXiv:2206.15058, 2022
2022
Kernel Ridgeless Regression is Inconsistent for Low Dimensions
D Beaglehole, M Belkin, P Pandit
arXiv preprint arXiv:2205.13525, 2022
2022
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions
M Sahraee-Ardakan, M Emami, P Pandit, S Rangan, AK Fletcher
arXiv preprint arXiv:2201.08082, 2022
2022
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