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Preprints by WIAS Researchers in Other Preprint Series 2019

  • D. Dvinskikh, E. Gorbunov, A. Gasnikov, P. Dvurechensky, C.A. Uribe, On dual approach for distributed stochastic convex optimization over networks, Preprint no. arXiv:1903.09844, Cornell University Library, arXiv.org, 2019.
  • F. Stonyakin, D. Dvinskikh, P. Dvurechensky, A. Kroshnin, O. Kuznetsova, A. Agafonov, A. Gasnikov, A. Tyurin, C.A. Uribe, D. Pasechnyuk, S. Artamonov, Gradient methods for problems with inexact model of the objective, Preprint no. arXiv:1902.09001, Cornell University Library, arXiv.org, 2019.
  • M. Alkousa, D. Dvinskikh, F. Stonyakin, A. Gasnikov, Accelerated methods for composite non-bilinear saddle point problem, Preprint no. arXiv:1906.03620, Cornell University Library, arXiv.org, 2019.
  • D. Dvinskikh, A. Gasnikov, Decentralized and parallelized primal and dual accelerated methods for stochastic convex programming problems, Preprint no. arXiv:1904.09015, Cornell University Library, arXiv.org, 2019.
  • E. Gorbunov, D. Dvinskikh, A. Gasnikov, Optimal decentralized distributed algorithms for stochastic convex optimization, Preprint no. arXiv:1911.07363, Cornell University Library, arXiv.org, 2019.
  • F. Stonyakin, A. Gasnikov, A. Tyurin, D. Pasechnyuk, A. Agafonov, P. Dvurechensky, D. Dvinskikh, A. Kroshnin, V. Piskunova, Inexact model: A framework for optimization and variational inequalities, Preprint no. arXiv:1902.00990, Cornell University Library, arXiv.org, 2019.
  • P. Dvurechensky, A. Gasnikov, P. Ostroukhov, C.A. Uribe, A. Ivanova, Near-optimal tensor methods for minimizing the gradient norm of convex function, Preprint no. arXiv:1912.03381, Cornell University Library, arXiv.org, 2019.
  • N. Tupitsa, P. Dvurechensky, A. Gasnikov, S. Guminov, Alternating minimization methods for strongly convex optimization, Preprint no. arXiv:1911.08987, Cornell University Library, arXiv.org, 2019.
  • J. Fuhrmann, C. Guhlke, Ch. Merdon, A. Linke, R. Müller, Induced charge electroosmotic flow with finite ion size and solvation effects, Preprint no. arXiv:1901.06941, Cornell University Library, 2019, DOI 10.1016/j.electacta.2019.05.051 .
  • A. Linke, Ch. Merdon, M. Neilan, Pressure-robustness in quasi-optimal a priori estimates for the Stokes problem, Preprint no. arXiv:1906.03009, Cornell University Library, arXiv.org, 2019.
  • A. Rastogi, G. Blanchard, P. Mathé, Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems, Preprint no. arXiv:1902.05404, Cornell University Library, arXiv.org, 2019.
  • D. Heydecker , R.I.A. Patterson, Kac interaction clusters: A bilinear coagulation equation and phase transition, Preprint no. arXiv:1902.07686, Cornell University Library, 2019.
  • F. Besold, V. Spokoiny, Adaptive manifold clustering, Preprint no. arXiv:1912.04869, Cornell University Library, arXiv.org, 2019.
  • A. Kroshnin, V. Spokoiny, A. Suvorikova, Statistical inference for Bures--Wasserstein barycenters, Preprint no. arXiv:1901.00226, Cornell University Library, arXiv.org, 2019.
  • V. Spokoiny, M. Panov, Accuracy of Gaussian approximation in nonparametric Bernstein--von Mises theorem, Preprint no. arXiv:1910.06028, Cornell University Library, arXiv.org, 2019.
  • N. Puchkin, V. Spokoiny, Structure-adaptive manifold estimation, Preprint no. arXiv:1906.05014, Cornell University Library, arXiv.org, 2019.
  • Y.-W. Sun, K. Papagiannouli, V. Spokoiny, Online graph-based change-point detection for high dimensional data, Preprint no. arXiv:1906.03001, Cornell University Library, arXiv.org, 2019.
  • V. Betz, H. Schäfer, L. Taggi, Interacting self-avoiding polygons, Preprint no. arXiv:1902.08517, Cornell University Library, 2019.
  • E. Candellero, A. Stauffer, L. Taggi, Abelian oil and water dynamics does not have an absorbing-state phase transition, Preprint no. arXiv:1901.08425v1, Cornell University Library, 2019.
  • B. Lees, L. Taggi, Site monotonicity and uniform positivity for interacting random walks and the spin O(N) model with arbitrary N, Preprint no. arXiv:1902.07252, Cornell University Library, 2019.
  • V. Avanesov, Nonparametric change point detection in regression, Preprint no. arXiv:1903.02603, Cornell University Library, arXiv.org, 2019.
  • V. Avanesov, How to gamble with non-stationary x-armed bandits and have no regrets, Preprint no. arXiv:1908.07636, Cornell University Library, arXiv.org, 2019.
  • S. Athreya, O. Butkovsky, L. Mytnik, Strong existence and uniqueness for stable stochastic differential equations with distributional drift, Preprint no. arXiv:1801.03473, Cornell University Library, arXiv.org, 2019.
  • O. Butkovsky, K. Dareiotis, M. Gerencsér, Approximation of SDEs -- A stochastic sewing approach, Preprint no. arXiv:1909.07961, Cornell University Library, arXiv.org, 2019.
  • O. Butkovsky, A. Kulik, M. Scheutzow, Generalized couplings and ergodic rates for SPDEs and other Markov models, Preprint no. arXiv:1806.00395, Cornell University Library, arXiv.org, 2019.
  • O. Butkovsky, M. Scheutzow, Couplings via comparison principle and exponential ergodicity of SPDEs in the hypoelliptic setting, Preprint no. arXiv:1907.03725, Cornell University Library, arXiv.org, 2019.
  • O. Butkovsky, F. Wunderlich, Asymptotic strong Feller property and local weak irreducibility via generalized couplings, Preprint no. arXiv:1912.06121, Cornell University Library, arXiv.org, 2019.
  • J.-D.D. Deuschel, H.E. Altman , T. Orenshtein, Über die mit Benetzungsmodellen verbundene Gradientendynamik, Preprint no. arXiv: 1908.08850, Cornell University Library, arXiv.org, 2019.
  • M. Redmann, An $L^2_T$-error bound for time-limited balanced truncation, Preprint no. arXiv:1907.05478, Cornell University Library, arXiv.org, 2019.
  • J. Diehl, K. Ebrahimi-Fard, N. Tapia, Time warping invariants of multidimensional time series, Preprint no. arXiv:1906.05823, Cornell University Library, arXiv.org, 2019.