Fractional moment-preserving initialization schemes for training fully-connected neural networks. - Mert Gürbüzbalaban; Yuanhan Hu (CoRR, 2020)

Fractional moment-preserving initialization schemes for training deep neural networks. - Mert Gürbüzbalaban; Yuanhan Hu (AISTATS, 2021)

Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo. - Mert Gürbüzbalaban; Xuefeng Gao; Yuanhan Hu; Lingjiong Zhu (J. Mach. Learn. Res., 2021)

Heavy-Tail Phenomenon in Decentralized SGD. - Mert Gürbüzbalaban; Yuanhan Hu; Umut Simsekli; Kun Yuan 001; Lingjiong Zhu (CoRR, 2022)

Penalized Langevin and Hamiltonian Monte Carlo Algorithms for Constrained Sampling. - Mert Gürbüzbalaban; Yuanhan Hu; Lingjiong Zhu (CoRR, 2022)

Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD. - Mert Gürbüzbalaban; Yuanhan Hu; Umut Simsekli; Lingjiong Zhu (CoRR, 2023)

Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than Constant Stepsize. - Mert Gürbüzbalaban; Yuanhan Hu; Umut Simsekli; Lingjiong Zhu (Trans. Mach. Learn. Res., 2023)