Timezone: »
Panel
Panel 3A-4: Reproducibility in Optimization:… & A framework for…
Kwangjun Ahn · Mathieu Dagréou
Author Information
Kwangjun Ahn (MIT)
Mathieu Dagréou (Inria Saclay)
More from the Same Authors
-
2023 Poster: The Curious Role of Normalization in Sharpness-Aware Minimization »
Yan Dai · Kwangjun Ahn · Suvrit Sra -
2023 Poster: Transformers learn to implement preconditioned gradient descent for in-context learning »
Kwangjun Ahn · Xiang Cheng · Hadi Daneshmand · Suvrit Sra -
2023 Poster: Learning threshold neurons via edge of stability »
Kwangjun Ahn · Sebastien Bubeck · Sinho Chewi · Yin Tat Lee · Felipe Suarez · Yi Zhang -
2022 Poster: Benchopt: Reproducible, efficient and collaborative optimization benchmarks »
Thomas Moreau · Mathurin Massias · Alexandre Gramfort · Pierre Ablin · Pierre-Antoine Bannier · Benjamin Charlier · Mathieu Dagréou · Tom Dupre la Tour · Ghislain DURIF · Cassio F. Dantas · Quentin Klopfenstein · Johan Larsson · En Lai · Tanguy Lefort · Benoît Malézieux · Badr MOUFAD · Binh T. Nguyen · Alain Rakotomamonjy · Zaccharie Ramzi · Joseph Salmon · Samuel Vaiter -
2022 Poster: A framework for bilevel optimization that enables stochastic and global variance reduction algorithms »
Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau -
2022 Poster: Reproducibility in Optimization: Theoretical Framework and Limits »
Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir -
2022 Poster: Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently »
Haoyuan Sun · Kwangjun Ahn · Christos Thrampoulidis · Navid Azizan -
2021 Poster: Efficient constrained sampling via the mirror-Langevin algorithm »
Kwangjun Ahn · Sinho Chewi -
2020 Poster: SGD with shuffling: optimal rates without component convexity and large epoch requirements »
Kwangjun Ahn · Chulhee Yun · Suvrit Sra -
2020 Spotlight: SGD with shuffling: optimal rates without component convexity and large epoch requirements »
Kwangjun Ahn · Chulhee Yun · Suvrit Sra