Parthe Pandit - RankMe

47 papers A* 8A 3B 1C 1Misc 2Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotic convexity of wide and shallow neural networks. CoRR Vivek Borkar, Parthe Pandit
2025	A	`conf`	AxlePro: Momentum-Accelerated Batched Training of Kernel Machines. AISTATS Yiming Zhang, Parthe Pandit
2025	A*	`conf`	Emergence in non-neural models: grokking modular arithmetic via average gradient outer product. ICML Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
2025	J	`jnl`	Feature maps for the Laplacian kernel and its generalizations. CoRR Sudhendu Ahir, Parthe Pandit
2025	J	`jnl`	GAN Training With Kernel Discriminators: What Parameters Control Convergence Rates? IEEE Trans. Signal Process. Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2025	J	`jnl`	Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime. J. Mach. Learn. Res. Parthe Pandit, Zhichao Wang, Yizhe Zhu
2024	J	`jnl`	Emergence in non-neural models: grokking modular arithmetic via average gradient outer product. CoRR Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
2024	J	`jnl`	Fast training of large kernel models with delayed projections. CoRR Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit, Mikhail Belkin
2024	J	`jnl`	Mirror Descent on Reproducing Kernel Banach Spaces. CoRR Akash Kumar, Mikhail Belkin, Parthe Pandit
2024	A	`conf`	On the Nyström Approximation for Preconditioning in Kernel Machines. AISTATS Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin
2024	J	`jnl`	Universality of kernel random matrices and kernel regression in the quadratic regime. CoRR Parthe Pandit, Zhichao Wang, Yizhe Zhu
2023	Misc	`conf`	Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2023	J	`jnl`	Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2023	J	`jnl`	Mechanism of feature learning in convolutional neural networks. CoRR Daniel Beaglehole, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
2023	J	`jnl`	On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions. SIAM J. Math. Data Sci. Daniel Beaglehole, Mikhail Belkin, Parthe Pandit
2023	J	`jnl`	On the Nystrom Approximation for Preconditioning in Kernel Machines. CoRR Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit, Luis Rademacher
2023	A*	`conf`	Toward Large Kernel Models. ICML Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
2023	J	`jnl`	Toward Large Kernel Models. CoRR Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
2022	J	`jnl`	A note on Linear Bottleneck networks and their Transition to Multilinearity. CoRR Libin Zhu, Parthe Pandit, Mikhail Belkin
2022	J	`jnl`	Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. CoRR Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
2022	A*	`conf`	Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting. NeurIPS Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
2022	J	`jnl`	Feature learning in neural networks and kernel machines that recursively learn features. CoRR Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin
2022	A*	`conf`	Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2022	J	`jnl`	Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2022	J	`jnl`	Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions. CoRR Mojtaba Sahraee-Ardakan, Melikasadat Emami, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2022	J	`jnl`	Kernel Ridgeless Regression is Inconsistent for Low Dimensions. CoRR Daniel Beaglehole, Mikhail Belkin, Parthe Pandit
2021	A*	`conf`	Implicit Bias of Linear RNNs. ICML Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2021	J	`jnl`	Implicit Bias of Linear RNNs. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	A*	`conf`	Generalization Error of Generalized Linear Models in High Dimensions. ICML Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Generalization Error of Generalized Linear Models in High Dimensions. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Inference With Deep Generative Priors in High Dimensions. IEEE J. Sel. Areas Inf. Theory Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2020	J	`jnl`	Inference in Multi-Layer Networks with Matrix-Valued Unknowns. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2020	J	`jnl`	Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex. CoRR Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi
2020	A*	`conf`	Matrix Inference and Estimation in Multi-Layer Models. NeurIPS Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2019	B	`conf`	Asymptotics of MAP Inference in Deep Networks. ISIT Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Asymptotics of MAP Inference in Deep Networks. CoRR Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Inference with Deep Generative Priors in High Dimensions. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
2019	A	`conf`	Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2018	J	`jnl`	A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. Discret. Appl. Math. Parthe Pandit, Ankur A. Kulkarni
2018	C	`conf`	Discount-Based Pricing and Capacity Planning for EV Charging Under Stochastic Demand. ACC Parthe Pandit, Samuel Coogan
2018	A*	`conf`	Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. NeurIPS Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter
2017	—	`conf`	Non-constructive lower bounds for binary asymmetric error correcting codes. NCC Parthe Pandit, Ankur A. Kulkarni
2016	J	`jnl`	A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. CoRR Parthe Pandit, Ankur A. Kulkarni
2016	J	`jnl`	Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria. CoRR Parthe Pandit, Ankur A. Kulkarni
2015	Misc	`conf`	Structural segmentation of Hindustani concert audio with posterior features. ICASSP Prateek Verma, Vinutha T. P., Parthe Pandit, Preeti Rao