Suriya Gunasekar

发表

Characterizing Implicit Bias in Terms of Optimization Geometry pdf

Nathan Srebro, Daniel Soudry, Suriya Gunasekar, 2018, ICML.

Implicit Regularization in Matrix Factorization

Nathan Srebro, Behnam Neyshabur, Suriya Gunasekar, 2017, 2018 Information Theory and Applications Workshop (ITA).

Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models

Nathan Srebro, Daniel Soudry, Jason D. Lee, 2019, ICML.

On preserving non-discrimination when combining expert advice

Avrim Blum, Nathan Srebro, Thodoris Lykouris, 2018, NeurIPS.

Learning Non-Discriminatory Predictors pdf

Nathan Srebro, Mesrob I. Ohannessian, Suriya Gunasekar, 2017, COLT.

Exponential Family Matrix Completion under Structural Constraints

Pradeep Ravikumar, Joydeep Ghosh, Suriya Gunasekar, 2014, ICML.

Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow pdf

Nathan Srebro, Suriya Gunasekar, Blake E. Woodworth, 2020, ArXiv.

Review quality aware collaborative filtering

Joydeep Ghosh, Suriya Gunasekar, Sindhu Raghavan, 2012, RecSys '12.

Unified View of Matrix Completion under General Structural Constraints

Joydeep Ghosh, Arindam Banerjee, Suriya Gunasekar, 2015, NIPS.

Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data

Jimeng Sun, Joydeep Ghosh, Joshua C Denny, 2016, 1609.04466.

Noisy Matrix Completion Using Alternating Minimization

Joydeep Ghosh, Ayan Acharya, Suriya Gunasekar, 2013, ECML/PKDD.

Face detection on distorted images using perceptual quality-aware features

Joydeep Ghosh, Alan C. Bovik, Suriya Gunasekar, 2014, Electronic Imaging.

Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features

Joydeep Ghosh, Alan C. Bovik, Suriya Gunasekar, 2014, IEEE Transactions on Information Forensics and Security.

Implicit Regularization and Convergence for Weight Normalization

Suriya Gunasekar, Rachel A. Ward, Qiang Liu, 2019, Neural Information Processing Systems.

A survey on using side information in recommendation systems

Suriya Gunasekar, 2012 .

Generalization to translation shifts: a study in architectures and augmentations

Suriya Gunasekar, 2022, ArXiv.

Unveiling Transformers with LEGO: a synthetic reasoning task

Sébastien Bubeck, Suriya Gunasekar, Ronen Eldan, 2022, ArXiv.

Neural-Sim: Learning to Generate Training Data with NeRF

Harkirat Singh Behl, Suriya Gunasekar, L. Itti, 2022, ECCV.

Implicit Regularization and Convergence for Weight Normalization

Suriya Gunasekar, Rachel A. Ward, Qiang Liu, 2019, NeurIPS.

How to Fine-Tune Vision Models with SGD

Sébastien Bubeck, Ananya Kumar, Suriya Gunasekar, 2022, arXiv.org.

Generalization to translation shifts: a study in architectures and augmentations

Suriya Gunasekar, 2022, ArXiv.

Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm

Ilya P. Razenshteyn, Suriya Gunasekar, M. Jagadeesan, 2021, COLT.

Molecular structure, FT-IR and FT-Raman spectra and HOMOLUMOanalysis of 2-methoxy-4-nitroaniline using ab initio HF andDFT (B3LYP/B3PW91) calculations

Suriya Gunasekar, T. Rajendiran, P.Udhayakala, 2011 .

Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent

Blake E. Woodworth, Nathan Srebro, Suriya Gunasekar, 2020, AISTATS.

The Implicit Bias of Gradient Descent on Separable Data pdf

Nathan Srebro, Elad Hoffer, Daniel Soudry, 2017, J. Mach. Learn. Res..

Kernel and Rich Regimes in Overparametrized Models

Nathan Srebro, Daniel Soudry, Jason D. Lee, 2019, COLT.

Amyand's hernia in neonate: a case report

Suriya Gunasekar, N. Rahman, A. M. Lela, 2014 .

Unveiling Transformers with LEGO: a synthetic reasoning task

Sébastien Bubeck, Suriya Gunasekar, Ronen Eldan, 2022, ArXiv.

Convergence of Gradient Descent on Separable Data

Nathan Srebro, Daniel Soudry, Jason D. Lee, 2018, AISTATS.

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning pdf

Hossein Mobahi, Samy Bengio, Gintare Karolina Dziugaite, 2020, ArXiv.

Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy pdf

Nathan Srebro, Daniel Soudry, Jason D. Lee, 2020, NeurIPS.

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Nathan Srebro, Daniel Soudry, Suriya Gunasekar, 2018, NeurIPS.

Kernel and Deep Regimes in Overparametrized Models pdf

Nathan Srebro, Daniel Soudry, Jason D. Lee, 2019, ArXiv.

Data Augmentation as Feature Manipulation: a story of desert cows and grass cows

Sébastien Bubeck, Suriya Gunasekar, Ruoqi Shen, 2022, ArXiv.

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning

Daniel M. Roy, Samy Bengio, Suriya Gunasekar, 2020, NeurIPS.

Data Augmentation as Feature Manipulation: a story of desert cows and grass cows

Sébastien Bubeck, Suriya Gunasekar, Ruoqi Shen, 2022, ICML.

Textbooks Are All You Need

Harkirat Singh Behl, Allison Del Giorno, Yuanzhi Li, 2023, ArXiv.

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization

Joydeep Ghosh, Shalmali Joshi, Suriya Gunasekar, 2016, MLHC.

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Suriya Gunasekar, Nicolas Flammarion, Mathieu Even, 2023, ArXiv.

Consistent Collective Matrix Completion under Joint Low Rank Structure pdf

Makoto Yamada, Yi Chang, Dawei Yin, 2014, AISTATS.

Textbooks Are All You Need II: phi-1.5 technical report

Allison Del Giorno, Yuanzhi Li, Sébastien Bubeck, 2023, ArXiv.

Preference Completion from Partial Rankings

Oluwasanmi Koyejo, Joydeep Ghosh, Suriya Gunasekar, 2016, NIPS.

Exponential Family Matrix Completion under Structural Constraints

Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh, 2014, ICML.

How to Fine-Tune Vision Models with SGD

Sébastien Bubeck, Ananya Kumar, Suriya Gunasekar, 2022, ArXiv.

Textbooks Are All You Need

Harkirat Singh Behl, Allison Del Giorno, Sébastien Bubeck, 2023, ArXiv.

Unveiling Transformers with LEGO: a synthetic reasoning task

Sébastien Bubeck, Suriya Gunasekar, Ronen Eldan, 2022, ArXiv.

(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability

Suriya Gunasekar, Nicolas Flammarion, Mathieu Even, 2023, NeurIPS.

Implicit Regularization of Normalization Methods pdf

Qiang Liu, Edgar Dobriban, Suriya Gunasekar, 2019, ArXiv.

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Suriya Gunasekar, Besmira Nushi, Mert Yuksekgonul, 2023, ArXiv.