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Structured Prediction with Projection Oracles

Structured Prediction with Projection Oracles

24 October 2019
Mathieu Blondel
ArXivPDFHTML

Papers citing "Structured Prediction with Projection Oracles"

12 / 12 papers shown
Title
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
33
9
0
28 Mar 2024
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode
Enrique Nueve
Bo Waggoner
Dhamma Kimpara
Jessie Finocchiaro
21
1
0
16 Feb 2024
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
21
18
0
02 Feb 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear
  Programming and Inverse Linear Programming
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
Chunlin Sun
Shang Liu
Xiaocheng Li
21
9
0
26 Jan 2023
On the inconsistency of separable losses for structured prediction
On the inconsistency of separable losses for structured prediction
Caio Corro
9
3
0
25 Jan 2023
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
BDL
45
24
0
04 Oct 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
36
85
0
15 Jun 2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Calibrated Surrogate Losses for Adversarially Robust Classification
Han Bao
Clayton Scott
Masashi Sugiyama
27
45
0
28 May 2020
Learning with Differentiable Perturbed Optimizers
Learning with Differentiable Perturbed Optimizers
Quentin Berthet
Mathieu Blondel
O. Teboul
Marco Cuturi
Jean-Philippe Vert
Francis R. Bach
29
105
0
20 Feb 2020
The Limited Multi-Label Projection Layer
The Limited Multi-Label Projection Layer
Brandon Amos
V. Koltun
J. Zico Kolter
8
36
0
20 Jun 2019
Regularized Optimal Transport and the Rot Mover's Distance
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein
Nicolas Papadakis
Jean-Luc Rouas
OT
56
84
0
20 Oct 2016
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