Suriya Gunasekar
24 papers · 2014–2024 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Suriya Gunasekar?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nathan Srebro, Daniel Soudry, Jason Lee
11 papers
· 2017–2021
· NeurIPS, AISTATS, COLT
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Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
AISTATS 2021
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NeurIPS 2020
Kernel and Rich Regimes in Overparametrized Models
COLT 2020
Convergence of Gradient Descent on Separable Data
AISTATS 2019
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
ICML 2019
Characterizing Implicit Bias in Terms of Optimization Geometry
ICML 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks
NeurIPS 2018
On preserving non-discrimination when combining expert advice
NeurIPS 2018
The Implicit Bias of Gradient Descent on Separable Data
JMLR 2018
Implicit Regularization in Matrix Factorization
NeurIPS 2017
Learning Non-Discriminatory Predictors
COLT 2017
6 papers whose co-authors appear nowhere else under this name
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
NeurIPS 2023
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
COLT 2022
Neural-Sim: Learning to Generate Training Data with NeRF
ECCV 2022
Implicit Regularization and Convergence for Weight Normalization
NeurIPS 2020
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
MLHC 2016
Consistent Collective Matrix Completion under Joint Low Rank Structure
AISTATS 2015