Avrajit Ghosh

20 papers A* 3Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hard labels sampled from sparse targets mislead rotation invariant algorithms.
CoRR
Avrajit Ghosh, Bin Yu, Manfred K. Warmuth, Peter L. Bartlett
2026 J jnl
Understanding Untrained Deep Models for Inverse Problems [From the Guest Editors]: Algorithms and theory.
IEEE Signal Process. Mag.
Ismail Alkhouri, Evan Bell, Avrajit Ghosh, Shijun Liang, Rongrong Wang, Saiprasad Ravishankar
2025 J jnl
Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability.
CoRR
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu
2025 A* conf
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability.
ICLR
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu
2025 J jnl
Variational Learning Finds Flatter Solutions at the Edge of Stability.
CoRR
Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024 J jnl
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds.
Trans. Mach. Learn. Res.
Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang
2024 J jnl
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization.
SIAM J. Imaging Sci.
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2024 J jnl
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization.
CoRR
Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2024 A* conf
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization.
ICML
Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2024 — conf
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization.
IEEECONF
Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar
2024 J jnl
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization.
CoRR
Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar
2024 — conf
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness.
ACL (Findings)
Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson
2024 J jnl
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness.
CoRR
Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson
2023 J jnl
Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks.
CoRR
Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang
2023 A* conf
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.
ICLR
Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang
2023 J jnl
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.
CoRR
Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang
2022 Misc conf
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC).
ICASSP
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2022 J jnl
Learning Sparsity-Promoting Regularizers using Bilevel Optimization.
CoRR
Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2021 J jnl
Bilevel learning of l1-regularizers with closed-form gradients(BLORC).
CoRR
Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2020 J jnl
Energy-Efficient IoT-Health Monitoring System using Approximate Computing.
Internet Things
Avrajit Ghosh, Arnab Raha, Amitava Mukherjee