Publications related to Local search (optimization)

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Sinem Sav

A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global neural network model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being commun ...

2022

ADAGRAD Avoids Saddle Points

Kimon Antonakopoulos, Xiao Wang

Adaptive first-order methods in optimization are prominent in machine learning and data science owing to their ability to automatically adapt to the landscape of the function being optimized. However, their convergence guarantees are typically stated in te ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

CNT-based bifacial perovskite solar cells towards highly efficient 4-terminal tandem photovoltaics

Michael Graetzel, Shaik Mohammed Zakeeruddin, Fan Fu, Hongwei Zhu, Chunyang Zhang

Carbon-based perovskite solar cells (C-PSCs) are recognized as low-cost stable photovoltaics. However, currently most highly efficient C-PSCs are optically opaque, which means that they can only utilize direct illumination but cannot efficiently utilize th ...

2022

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Sylvain Calinon, Amirreza Razmjoo Fard, Teguh Santoso Lembono

paper studies exploiting action-level learning (imitation) in the optimal control problem context. Cost functions defined by the optimal control methods are similar to the goal-level learning (emulation) in animals. However, imitating the robot's or others ...

IEEE2021

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

Giuseppe Carleo, Julien Sebastian Gacon, Stefan Woerner

The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum Imaginary Time Evolution. Computing the full QFIM for a model with d parameters, however, is computat ...

VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF2021

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Mathieu Salzmann, Kaicheng Yu

Weight sharing has become a de facto standard in neural architecture search because it enables the search to be done on commodity hardware. However, recent works have empirically shown a ranking disorder between the performance of stand-alone architectures ...

IEEE COMPUTER SOC2021

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

Volkan Cevher, Alp Yurtsever

This paper develops a new storage-optimal algorithm that provably solves almost all semidefinite programs (SDPs). This method is particularly effective for weakly constrained SDPs under appropriate regularity conditions. The key idea is to formulate an app ...

SIAM PUBLICATIONS2021

A note on the integrality gap of the configuration LP for restricted Santa Claus

Klaus Jansen, Lars Rohwedder

In the restricted Santa Claus problem we are given resources R and players P. Every resource j is an element of R. has a value v(j) and every player i is an element of P desires a set of resources R(i). We are interested in distributing the resources to pl ...

ELSEVIER2020

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Local search (optimization)

The Role of Adaptivity in Source Identification with Time Queries

System and method for privacy-preserving distributed training of neural network models on distributed datasets

ADAGRAD Avoids Saddle Points

ADAGRAD Avoids Saddle Points

CNT-based bifacial perovskite solar cells towards highly efficient 4-terminal tandem photovoltaics

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

A note on the integrality gap of the configuration LP for restricted Santa Claus

Graph Chatbot

Chat with Graph Search

ADAGRAD Avoids Saddle Points

System and method for privacy-preserving distributed training of neural network models on distributed datasets

CNT-based bifacial perovskite solar cells towards highly efficient 4-terminal tandem photovoltaics

ADAGRAD Avoids Saddle Points

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

The Role of Adaptivity in Source Identification with Time Queries

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

A note on the integrality gap of the configuration LP for restricted Santa Claus

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information