Parthe Pandit

According to our database, Parthe Pandit authored at least 28 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions.

Daniel Beaglehole, Mikhail Belkin, Parthe Pandit

SIAM J. Math. Data Sci., December, 2023

On the Nystrom Approximation for Preconditioning in Kernel Machines.

Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit, Luis Rademacher

CoRR, 2023

Mechanism of feature learning in convolutional neural networks.

Daniel Beaglehole, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin

CoRR, 2023

Toward Large Kernel Models.

Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit

Proceedings of the International Conference on Machine Learning, 2023

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks.

Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Feature learning in neural networks and kernel machines that recursively learn features.

Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin

CoRR, 2022

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting.

Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran

CoRR, 2022

A note on Linear Bottleneck networks and their Transition to Multilinearity.

Libin Zhu, Parthe Pandit, Mikhail Belkin

CoRR, 2022

Kernel Ridgeless Regression is Inconsistent for Low Dimensions.

Daniel Beaglehole, Mikhail Belkin, Parthe Pandit

CoRR, 2022

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions.

Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2022

Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting.

Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Instability and Local Minima in GAN Training with Kernel Discriminators.

Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Implicit Bias of Linear RNNs.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Inference With Deep Generative Priors in High Dimensions.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Autoregressive Linear Models for Discrete High-Dimensional Data.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi

CoRR, 2020

Inference in Multi-Layer Networks with Matrix-Valued Unknowns.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

CoRR, 2020

Matrix Inference and Estimation in Multi-Layer Models.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalization Error of Generalized Linear Models in High Dimensions.

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2019

Asymptotics of MAP Inference in Deep Networks.

Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the IEEE International Symposium on Information Theory, 2019

Sparse Multivariate Bernoulli Processes in High Dimensions.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs.

Parthe Pandit, Ankur A. Kulkarni

Discret. Appl. Math., 2018

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis.

Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Discount-Based Pricing and Capacity Planning for EV Charging Under Stochastic Demand.

Parthe Pandit, Samuel Coogan

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Non-constructive lower bounds for binary asymmetric error correcting codes.

Parthe Pandit, Ankur A. Kulkarni

Proceedings of the Twenty-third National Conference on Communications, 2017

2016

Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria.

Parthe Pandit, Ankur A. Kulkarni

CoRR, 2016

2015

Structural segmentation of Hindustani concert audio with posterior features.

Prateek Verma, Vinutha T. P., Parthe Pandit, Preeti Rao

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015