Albert S. Berahas

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Person:2143219

Available identifiers

zbMath Open berahas.albert-sMaRDI QIDQ2143219

List of research outcomes

PublicationDate of PublicationType
A Flexible Gradient Tracking Algorithmic Framework for Decentralized Optimization2023-12-11Paper
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction2023-08-03Paper
Balancing Communication and Computation in Gradient Tracking Algorithms for Decentralized Optimization2023-03-24Paper
Full-low evaluation methods for derivative-free optimization2023-03-15Paper
Quasi-Newton methods for machine learning: forget the past, just sample2022-12-20Paper
Gradient Descent in the Absence of Global Lipschitz Continuity of the Gradients2022-10-05Paper
On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps2022-09-23Paper
Limited-memory BFGS with displacement aggregation2022-06-29Paper
An Adaptive Sampling Sequential Quadratic Programming Method for Equality Constrained Stochastic Optimization2022-06-01Paper
A theoretical and empirical comparison of gradient approximations in derivative-free optimization2022-05-31Paper
First- and Second-Order High Probability Complexity Bounds for Trust-Region Methods with Noisy Oracles2022-05-07Paper
Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise2021-06-28Paper
Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization2021-05-27Paper
An investigation of Newton-Sketch and subsampled Newton methods2020-11-19Paper
On the Convergence of Nested Decentralized Gradient Methods with Multiple Consensus and Gradient Steps2020-05-31Paper
A robust multi-batch L-BFGS method for machine learning2019-11-25Paper
Balancing Communication and Computation in Distributed Optimization2019-08-12Paper
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods2019-05-07Paper
Nested Distributed Gradient Methods with Adaptive Quantized Communication2019-03-18Paper
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample2019-01-28Paper

Research outcomes over time


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