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PhD Student
,
UC Berkeley
2022–
Publications
(9)
Linearly Convergent Frank-Wolfe with Backtracking Line-Search.
2018
66
cited
Learning differentiable solvers for systems with hard constraints
International Conference on Learning Representations · 2022
42
cited
Lifted Neural Networks
arXiv.org · 2018
39
cited
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
International Conference on Machine Learning · 2020
28
cited
Step-Size Adaptivity in Projection-Free Optimization
2018
14
cited
Linearly Convergent Frank-Wolfe without Line-Search
International Conference on Artificial Intelligence and Statistics · 2020
3
cited
OPTML 2017 : Lifted Neural Networks for Weight Initialization
2017
2
cited
$\clubsuit$ CLOVER $\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
2023
Linearly Convergent Frank-Wolfe Made Practical
2019
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Geoffrey Negiar | Researcher Profile | Sotabase | Sotabase