Mark Schmidt

Publications

BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks. Issam H. Laradji, Amrutha Ramesh, Mark Schmidt. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence. julie nutini, Issam H. Laradji, Mark Schmidt. At International Conference on Machine Learning (ICML), 2023.

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Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence. julie nutini, Issam H. Laradji, Mark Schmidt. At Journal of Machine Learning Research (JMLR), 2022.

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Proposal-based Instance Segmentation with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At International Conference on Image Processing (ICIP), 2020.

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Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. Si Yi Meng, Sharan Vaswani, Issam H. Laradji, Mark Schmidt, Simon Lcoste-Julien. At International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

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Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lcoste-Julien. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

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Where are the Masks: Instance Segmentation with Image-level Supervision. Issam H. Laradji, David Vazquez, Mark Schmidt. At British Machine Vision Conference (BMVC), 2019.

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Efficient Deep Gaussian Process Models for Variable-Sized Inputs. Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim. At International Joint Conference on Neural Networks (IJCNN), 2019.

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Where are the Blobs: Counting by Localization with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At European Conference on Computer Vision (ECCV), 2018.

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