Search Results for author: Pedro M. Q. Aguiar

Found 6 papers, 5 papers with code

COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization

1 code implementation7 Sep 2021 Manuel Madeira, Renato Negrinho, João Xavier, Pedro M. Q. Aguiar

First-order methods for stochastic optimization have undeniable relevance, in part due to their pivotal role in machine learning.

Stochastic Optimization

Sparse Continuous Distributions and Fenchel-Young Losses

1 code implementation4 Aug 2021 André F. T. Martins, Marcos Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae

When $\Omega$ is a Tsallis negentropy with parameter $\alpha$, we obtain "deformed exponential families," which include $\alpha$-entmax and sparsemax ($\alpha$ = 2) as particular cases.

Audio Classification Question Answering +1

Sparse and Continuous Attention Mechanisms

2 code implementations NeurIPS 2020 André F. T. Martins, António Farinhas, Marcos Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo

Exponential families are widely used in machine learning; they include many distributions in continuous and discrete domains (e. g., Gaussian, Dirichlet, Poisson, and categorical distributions via the softmax transformation).

Machine Translation Question Answering +3

Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization

1 code implementation27 Dec 2019 Lourenço V. Pato, Renato Negrinho, Pedro M. Q. Aguiar

In this setting, we use a bidirectional RNN with attention for contextual rescoring and introduce a training target that uses the IoU with ground truth to maximize AP for the given set of detections.

Object Detection

Distributed Optimization With Local Domains: Applications in MPC and Network Flows

1 code implementation8 May 2013 João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Our contribution is a communication-efficient distributed algorithm that finds a vector $x^\star$ minimizing the sum of all the functions.

Optimization and Control Information Theory Information Theory

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