v1v2v3 (latest)

The Limited Multi-Label Projection Layer

20 June 2019

Brandon Amos

V. Koltun

J. Zico Kolter

ArXiv (abs)PDF HTML

Papers citing "The Limited Multi-Label Projection Layer"

23 / 23 papers shown

Title
Prediction Loss Guided Decision-Focused Learning Haeun Jeon Hyunglip Bae Chanyeong Kim Yongjae Lee Woo Chang Kim 52 0 0 10 Sep 2025
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Chen Liang Koji Tsuda 200 1 0 19 Aug 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 227 4 0 08 Jul 2024
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Sanket Shah A. Suggala Milind Tambe Aparna Taneja 175 0 0 08 Mar 2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty M. H. Dinh James Kotary Ferdinando Fioretto 178 2 0 12 Feb 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 139 0 0 28 Dec 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesJournal of Artificial Intelligence Research (JAIR), 2023 Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 400 125 0 25 Jul 2023
Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches Ethan Che Hongseok Namkoong OffRL 321 3 0 21 Mar 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis PerspectiveInternational Conference on Machine Learning (ICML), 2023 Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 425 30 0 02 Feb 2023
Backpropagation of Unrolled Solvers with Folded OptimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 James Kotary M. H. Dinh Ferdinando Fioretto 234 17 0 28 Jan 2023
Rank-based Decomposable Losses in Machine Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Shu Hu Xin Wang Siwei Lyu 307 36 0 18 Jul 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection WorksInternational Conference on Learning Representations (ICLR), 2022 Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 352 27 0 30 May 2022
Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses Sanket Shah Kai Wang Bryan Wilder Andrew Perrault Milind Tambe OffRL 196 14 0 30 Mar 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization Menelaos Kanakis S. Maurer Matteo Spallanzani Ajad Chhatkuli Luc Van Gool 3DPC 359 18 0 07 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 778 72 0 01 Feb 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems Aritra Ghosh Saayan Mitra Andrew Lan BDL OffRL 106 3 0 08 Dec 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and BeyondNeural Information Processing Systems (NeurIPS), 2021 Đ.Khuê Lê-Huu Alahari Karteek 252 13 0 27 Oct 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 248 4 0 22 Jun 2020
Gradient Estimation with Stochastic Softmax TricksNeural Information Processing Systems (NeurIPS), 2020 Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 288 94 0 15 Jun 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 261 115 0 20 Feb 2020
Differentiable Convex Optimization LayersNeural Information Processing Systems (NeurIPS), 2019 Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 229 760 0 28 Oct 2019
Structured Prediction with Projection OraclesNeural Information Processing Systems (NeurIPS), 2019 Mathieu Blondel 338 35 0 24 Oct 2019
The Differentiable Cross-Entropy MethodInternational Conference on Machine Learning (ICML), 2019 Brandon Amos Denis Yarats 336 58 0 27 Sep 2019