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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Sampling can be faster than optimization

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Reliable data-driven decision-making through optimal transport

Graph generative deep learning models with an application to circuit topologies

Efficient Continual Finite-Sum Minimization

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Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

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50 years of behavioral models for transportation and logistics

Reliable data-driven decision-making through optimal transport

Graph generative deep learning models with an application to circuit topologies

Efficient Continual Finite-Sum Minimization

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Quantum Protocols for ML, Physics, and Finance

50 years of behavioral models for transportation and logistics

COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems