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Showing papers from Umeå University Show all papers

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NeurIPS 2026UmeaTechnical University of MunichTechnische Universität MünchenUmeåPruning & sparsity

Constrained Factorization with Diagonal Scaling: Rank-Revealing Training and Pruning

Yikun Hou, Emrullah Akbas, Suvrit Sra, Alp Yurtsever

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026EPFLEPFL - EPF LausanneUmeåEfficient & distributed training

AcceleGrad#: Adaptive Geometry-Aware Acceleration

Hanka Goralija, Francesco Tonin, Kimon Antonakopoulos, Alp Yurtsever and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Technical University of MunichUppsalaUmeåTechnische Universität MünchenOptimization

The Multi-Block DC Function Class: Theory, Algorithms, and Applications

Multi-block DC programming defines a broader structured nonconvex class with polynomial decompositions and constructive formulations for deep networks, plus convergent batch and stochastic algorithms.

Sayedpouria Fatemi, Hoomaan Maskan, Alp Yurtsever, Suvrit Sra

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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