Learning with Differentiable Perturbed Optimizers

Learning with Differentiable Perturbed Optimizers

20 February 2020

Quentin Berthet

Mathieu Blondel

Jean-Philippe Vert

Francis R. Bach

Papers citing "Learning with Differentiable Perturbed Optimizers"

15 / 15 papers shown

Title
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 29 0 0 06 May 2025
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 30 2 0 30 Jul 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 24 54 0 25 Jul 2023
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 49 28 0 15 Jun 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 19 42 0 15 Feb 2022
Efficient Video Transformers with Spatial-Temporal Token Selection Junke Wang Xitong Yang Hengduo Li Li Liu Zuxuan Wu Yu-Gang Jiang ViT 14 63 0 23 Nov 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 19 25 0 24 Oct 2021
Differentiable Rendering with Perturbed Optimizers Quentin Le Lidec Ivan Laptev Cordelia Schmid Justin Carpentier 16 15 0 18 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 26 93 0 04 Oct 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking Andrew N. Carr Quentin Berthet Mathieu Blondel O. Teboul Neil Zeghidour SSL 8 24 0 17 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 34 54 0 02 Mar 2021
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation Sebastian Bruch Jan Pfeifer Mathieu Guillame-Bert 21 7 0 29 Jul 2020
Learning Linear Programs from Optimal Decisions Yingcong Tan Daria Terekhov Andrew Delong 22 28 0 16 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 34 85 0 15 Jun 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 14 5 0 30 Apr 2020