Showing 1–11 of 11 results
/ Date/ Name
Jan 24, 2025Feasible LearningJun 19, 2019GAIT: A Geometric Approach to Information TheoryOct 31, 2023Balancing Act: Constraining Disparate Impact in Sparse ModelsSep 12, 2023A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-ScaleMay 21, 2022Equivariant Mesh Attention NetworksJul 8, 2022L$_0$onie: Compressing COINs with L$_0$-constraintsApr 1, 2025Cooper: A Library for Constrained Optimization in Deep LearningAug 8, 2022Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsJun 11, 2020To Each Optimizer a Norm, To Each Norm its GeneralizationDec 2, 2017GANGs: Generative Adversarial Network GamesJun 7, 2024On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization