Gunasekar, Suriya

25 publications

ICLR 2024 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

ICLR 2024 How to Fine-Tune Vision Models with SGD Ananya Kumar, Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar

ICLR 2024 KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi

NeurIPS 2023 (S)GD over Diagonal Linear Networks: Implicit Bias, Large Stepsizes and Edge of Stability Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion

ICML 2022 Data Augmentation as Feature Manipulation Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar

COLT 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar

ECCV 2022 Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet

AISTATS 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent Suriya Gunasekar, Blake Woodworth, Nathan Srebro

NeurIPS 2020 Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy Edward Moroshko, Blake E Woodworth, Suriya Gunasekar, Jason Lee, Nati Srebro, Daniel Soudry

NeurIPS 2020 Implicit Regularization and Convergence for Weight Normalization Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu

COLT 2020 Kernel and Rich Regimes in Overparametrized Models Blake Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro

AISTATS 2019 Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar, Pedro Henrique Pamplona Savarese, Nathan Srebro, Daniel Soudry

ICML 2019 Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models Mor Shpigel Nacson, Suriya Gunasekar, Jason Lee, Nathan Srebro, Daniel Soudry

ICML 2018 Characterizing Implicit Bias in Terms of Optimization Geometry Suriya Gunasekar, Jason Lee, Daniel Soudry, Nathan Srebro

NeurIPS 2018 Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar, Jason Lee, Daniel Soudry, Nati Srebro

NeurIPS 2018 On Preserving Non-Discrimination When Combining Expert Advice Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nati Srebro

JMLR 2018 The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro

NeurIPS 2017 Implicit Regularization in Matrix Factorization Suriya Gunasekar, Blake E Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nati Srebro

COLT 2017 Learning Non-Discriminatory Predictors Blake Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian, Nathan Srebro

MLHC 2016 Identifiable Phenotyping Using Constrained Non-Negative Matrix Factorization Shalmali Joshi, Suriya Gunasekar, David Sontag, Ghosh Joydeep

NeurIPS 2016 Preference Completion from Partial Rankings Suriya Gunasekar, Oluwasanmi O Koyejo, Joydeep Ghosh

AISTATS 2015 Consistent Collective Matrix Completion Under Joint Low Rank Structure Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang

NeurIPS 2015 Unified View of Matrix Completion Under General Structural Constraints Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh

ICML 2014 Exponential Family Matrix Completion Under Structural Constraints Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh

ECML-PKDD 2013 Noisy Matrix Completion Using Alternating Minimization Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh