Publications related to On the influence of momentum acceleration on online learning

A mixture model for a dilute dispersion of gas in a liquid flow: Mathematical analysis and application to aluminium electrolysis

Jacques Rappaz, Marco Picasso, Emile Tryphon Pierre Soutter

A mixture model to take into account the flow of small carbon dioxide bubbles dissolved in a liquid is presented. The model describes the evolution of the velocity fields (mixture and gas), the pressure and the volume fraction of gas. The system of equatio ...

2021

Multipolar origin of electromagnetic transverse force resulting from TE/TM wave interference

Olivier Martin, Karim Achouri, Andrei Kiselev

In this paper, we aim at unveiling the underlying physical mechanism for transversal optical forces, appearing due to the simultaneous illumination of a spherical object with two plane waves possessing different polarizations. The appearance of such a tran ...

2021

Momentum space CFT correlators for Hamiltonian truncation

Matthew Thomas Walters

We consider Lorentzian CFT Wightman functions in momentum space. In particular, we derive a set of reference formulas for computing two- and three-point functions, restricting our attention to three-point functions where the middle operator (corresponding ...

2020

Adaptive Gradient Descent without Descent

Konstantin Mishchenko

We present a strikingly simple proof that two rules are sufficient to automate gradient descent: 1) don’t increase the stepsize too fast and 2) don’t overstep the local curvature. No need for functional values, no line search, no information about the func ...

2020

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Ali H. Sayed, Sulaiman A S A E Alghunaim, Ming Yan

This work studies multi-agent sharing optimization problems with the objective function being the sum of smooth local functions plus a convex (possibly non-smooth) function coupling all agents. This scenario arises in many machine learning and engineering ...

IEEE2020

A stability theory beyond the co-rotational setting for critical wave maps blow up

Joachim Krieger, Shuang Miao

We exhibit non-equivariant perturbations of the blowup solutions constructed in [18] for energy critical wave maps into

\mathbb{S}^2

. Our admissible class of perturbations is an open set in some sufficiently smooth topology and vanishes near the light co ...

2020

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates

Sebastian Urban Stich, Sai Praneeth Reddy Karimireddy

We analyze (stochastic) gradient descent (SGD) with delayed updates on smooth quasi-convex and non-convex functions and derive concise, non-asymptotic, convergence rates. We show that the rate of convergence in all cases consists of two terms: (i) a stocha ...

MICROTOME PUBL2020

Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment

Andreas Fuster

Home price expectations are believed to play an important role in housing dynamics, yet we have limited understanding of how they are formed and how they affect behaviour. Using a unique “information experiment” embedded in an online survey, this article i ...

2019

Observation of Weyl Nodes in Robust Type-II Weyl Semimetal WP2

Oleg Yazyev, Quansheng Wu, Joël Mesot, Gabriel Albert Autes

Distinct to type-I Weyl semimetals (WSMs) that host quasiparticles described by the Weyl equation, the energy dispersion of quasiparticles in type-II WSMs violates Lorentz invariance and the Weyl cones in the momentum space are tilted. Since it was propose ...

AMER PHYSICAL SOC2019

Stochastic Frank-Wolfe for Composite Convex Minimization

Volkan Cevher, Alp Yurtsever

A broad class of convex optimization problems can be formulated as a semidefinite program (SDP), minimization of a convex function over the positive-semidefinite cone subject to some affine constraints. The majority of classical SDP solvers are designed fo ...

2019

On the influence of momentum acceleration on online learning

Graph Chatbot

Chat with Graph Search

A mixture model for a dilute dispersion of gas in a liquid flow: Mathematical analysis and application to aluminium electrolysis

Multipolar origin of electromagnetic transverse force resulting from TE/TM wave interference

Momentum space CFT correlators for Hamiltonian truncation

Adaptive Gradient Descent without Descent

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

A stability theory beyond the co-rotational setting for critical wave maps blow up

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates

Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment

Observation of Weyl Nodes in Robust Type-II Weyl Semimetal WP2

Stochastic Frank-Wolfe for Composite Convex Minimization

Momentum space CFT correlators for Hamiltonian truncation

A stability theory beyond the co-rotational setting for critical wave maps blow up

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Multipolar origin of electromagnetic transverse force resulting from TE/TM wave interference

Stochastic Frank-Wolfe for Composite Convex Minimization

Observation of Weyl Nodes in Robust Type-II Weyl Semimetal WP2

A mixture model for a dilute dispersion of gas in a liquid flow: Mathematical analysis and application to aluminium electrolysis

Adaptive Gradient Descent without Descent

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Updates

Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment