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Preprints im Fremdverlag 2021

  • A. Rogozin, A. Beznosikov, D. Dvinskikh, D. Kovalev, P. Dvurechensky, A. Gasnikov, Decentralized distributed optimization for saddle point problems, Preprint no. arXiv:2102.07758, Cornell University Library, arXiv.org, 2021.
  • A. Vasin, A. Gasnikov, P. Dvurechensky, V. Spokoiny, Accelerated gradient methods with absolute and relative noise in the gradient, Preprint no. arXiv:2102.02921, Cornell University, 2021, DOI 10.48550/arXiv.2102.02921 .
  • A. Daneshmand, G. Scutari, P. Dvurechensky, A. Gasnikov, Newton method over networks is fast up to the statistical precision, Preprint no. arXiv:2102.06780, Cornell University Library, arXiv.org, 2021.
  • A. Agafonov, P. Dvurechensky, G. Scutari, A. Gasnikov, D. Kamzolov, A. Lukashevich, A. Daneshmand, An accelerated second-order method for distributed stochastic optimization, Preprint no. arXiv:2103.14392, Cornell University Library, arXiv.org, 2021.
  • A. Beznosikov, P. Dvurechensky, A. Koloskova, V. Samokhin, S.U. Stich, A. Gasnikov, Decentralized local stochastic extra-gradient for variational inequalities, Preprint no. arXiv:2106.08315, Cornell University Library, arXiv.org, 2021.
  • E. Gladin, A. Sadiev, A. Gasnikov, P. Dvurechensky, A. Beznosikov, M. Alkousa, Solving smooth min-min and min-max problems by mixed oracle algorithms, Preprint no. arXiv:2103.00434, Cornell University Library, arXiv.org, 2021.
  • E. Gorbunov, M. Danilova, I. Shibaev, P. Dvurechensky, A. Gasnikov, Near-optimal high probability complexity bounds for non-smooth stochastic optimization with heavy-tailed noise, Preprint no. arXiv:2106.05958, Cornell University Library, arXiv.org, 2021.
  • P. Dvurechensky, D. Kamzolov, A. Lukashevich, S. Lee, E. Ordentlich, C.A. Uribe, A. Gasnikov, Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization, Preprint no. arXiv:2102.08246, Cornell University Library, arXiv.org, 2021.
  • D. Pasechnyuk, P. Dvurechensky, S. Omelchenko, A. Gasnikov, Stochastic optimization for dynamic pricing, Preprint no. arXiv:2106.14090, Cornell University Library, arXiv.org, 2021.
  • A. Rogozin, M. Bochko, P. Dvurechensky, A. Gasnikov, V. Lukoshkin, An accelerated method for decentralized distributed stochastic optimization over time-varying graphs, Preprint no. arXiv:2103.15598, Cornell University Library, arXiv.org, 2021.
  • P. Dvurechensky, M. Staudigl, S. Shtern, First-order methods for convex optimization, Preprint no. arXiv:2101.00935, Cornell University Library, arXiv.org, 2021.
  • P. Dvurechensky, M. Staudigl, Hessian barrier algorithms for non-convex conic optimization, Preprint no. arXiv:2111.00100, Cornell University Library, arXiv.org, 2021.
  • V. Tominin , Y. Tominin , E. Borodich , D. Kovalev, A. Gasnikov, P. Dvurechensky, On accelerated methods for saddle-point problems with composite structure, Preprint no. arXiv:2103.09344, Cornell University Library, arXiv.org, 2021.
  • M. O'Donovan, P. Farrell, T. Streckenbach, Th. Koprucki, S. Schulz, Multiscale simulations of uni-polar hole transport in (In,Ga)N quantum well systems, Preprint no. arXiv:2111.01644, Cornell University Library, arXiv.org, 2021.
  • V. Grimm, M. Hintermüller, O. Huber, L. Schewe, M. Schmidt, G. Zöttl, A PDE-constrained generalized Nash equilibrium approach for modeling gas markets with transport, Preprint no. 458, Dokumentserver des Sonderforschungsbereichs Transregio 154, urlhttps://opus4.kobv.de/opus4-trr154/home, 2021.
  • V. John, P. Knobloch, On algebraically stabilized schemes for convection-diffusion-reaction problems, Preprint no. 2111.08697, Cornell University Library, arXiv.org, 2021.
  • A. Bianchi, F. Collet, E. Magnanini, The GHS and other inequalities for the two-star model, Preprint no. arXiv:2107.08889, Cornell University Library, arXiv.org, 2021.
  • A. Bianchi, F. Collet, E. Magnanini, Limit theorems for exponential random graphs, Preprint no. arXiv:2105.06312, Cornell University Library, arXiv.org, 2021.
  • V. Pagliari, K. Papafitsoros, B. Ralţă, A. Vikelis, Bilevel training schemes in imaging for total-variation-type functionals with convex integrands, Preprint no. arXiv:2112.10682, Cornell University Library, arXiv.org, 2021.
  • A. Kroshnin, V. Spokoiny, A. Suvorikova, Multiplier bootstrap for Bures--Wasserstein barycenters, Preprint no. arXiv:2111.12612, Cornell University Library, arXiv.org, 2021.
  • H. Abdulsamad, T. Dorau, B. Belousov, J.-J. Zhu, J. Peters, Distributionally robust trajectory optimization under uncertain dynamics via relative-entropy trust regions, Preprint no. arXiv:2103.15388, Cornell University Library, arXiv.org, 2021.
  • D. Agudelo-España, Y. Nemmour, B. Schölkopf, J.-J. Zhu, Shallow representation is deep: Learning uncertainty-aware and worst-case random feature dynamics, Preprint no. arXiv:2106.13066, Cornell University Library, arXiv.org, 2021.
  • J.-J. Zhu, Ch. Kouridi, Y. Nemmour, B. Schölkopf, Adversarially robust kernel smoothing, Preprint no. arXiv:2102.08474, Cornell University Library, arXiv.org, 2021.
  • Y. Nemmour, B. Schölkopf, J.-J. Zhu, Distributional robustness regularized scenario optimization with application to model predictive control, Preprint no. arXiv:2110.13588, Cornell University Library, arXiv.org, 2021.
  • O. Butkovsky, K. Dareiotis, M. Gerencsér, Optimal rate of convergence for approximations of SPDEs with non-regular drift, Preprint no. arXiv:2110.06148, Cornell University Library, arXiv.org, 2021.
  • O. Butkovsky, V. Margarint, Y. Yuan, Law of the SLE tip, Preprint no. arXiv:2110.11247, Cornell University Library, arXiv.org, 2021.
  • M. Coghi, W. Dreyer, P. Gajewski, C. Guhlke, P. Friz, M. Maurelli, A McKean--Vlasov SDE and particle system with interaction from reflecting boundaries, Preprint no. 2102.12315v1, Cornell University Library, arXiv.org, 2021.
  • V. Novitskii, A. Gasnikov, Improved exploiting higher order smoothness in derivative-free optimization and continuous bandit, Preprint no. arXiv:2101.03821, Cornell University Library, arXiv.org, 2021.
  • N. Fountoulakis, T. Iyes, Condensation phenomena in preferential attachment trees with neighbourhood influence, Preprint no. arXiv:2101.027, Cornell University Library, arXiv.org, 2021.