Differentiable Convex Optimization Layers

28 October 2019

Zico Kolter

Papers citing "Differentiable Convex Optimization Layers"

50 / 126 papers shown

Title
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 31 4 0 02 Feb 2023
Minimizing Worst-Case Violations of Neural Networks Rahul Nellikkath Spyros Chatzivasileiadis 38 3 0 21 Dec 2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 27 14 0 14 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 29 0 0 01 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 23 47 0 27 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 24 16 0 25 Nov 2022
Learning to Play Trajectory Games Against Opponents with Unknown Objectives Xinjie Liu Lasse Peters Javier Alonso-Mora 42 28 0 24 Nov 2022
How to Backpropagate through Hungarian in Your DETR? Lingjiao Chen Alok Sharma Chinmay Shirore Chengjie Zhang Balarama Raju Buddharaju 42 1 0 12 Nov 2022
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers Parth Nobel Emmanuel Candès Stephen P. Boyd ELM LLMSV 31 5 0 11 Nov 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 35 27 0 24 Oct 2022
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control Christopher P. Diehl Janis Adamek Martin Krüger F. Hoffmann Torsten Bertram 16 4 0 21 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 33 3 0 05 Aug 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 29 76 0 19 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 31 28 0 18 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 59 58 0 02 Jul 2022
Differentiable Collision Detection for a Set of Convex Primitives K. Tracy Taylor A. Howell Zachary Manchester 31 43 0 01 Jul 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 27 24 0 27 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 9 13 0 10 Jun 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 23 9 0 10 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 24 6 0 06 Jun 2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization Noémie Jaquier You Zhou J. Starke Tamim Asfour 20 7 0 01 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 23 22 0 31 May 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 42 13 0 22 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 30 130 0 05 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 29 11 0 18 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 28 2 0 14 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep P. Chinchali AAML 37 4 0 13 Apr 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems Quentin Le Lidec Fabian Schramm Louis Montaut Cordelia Schmid Ivan Laptev Justin Carpentier 38 24 0 08 Mar 2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies Stephen Gould Dylan Campbell Itzik Ben-Shabat Chamin Pasidu Hewa Koneputugodage Zhiwei Xu 27 8 0 24 Feb 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 38 230 0 23 Feb 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang Shresth Verma Aditya Mate Sanket Shah Aparna Taneja N. Madhiwalla Aparna Hegde Milind Tambe 19 12 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka K. Sreenath 20 23 0 04 Jan 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 34 18 0 14 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 33 2 0 24 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 43 21 0 23 Nov 2021
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning Inês Lourenço Rebecka Winqvist C. Rojas B. Wahlberg OffRL 19 3 0 15 Nov 2021
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation Bernardo Aceituno-Cabezas Alberto Rodriguez Shubham Tulsiani Abhinav Gupta Mustafa Mukadam 21 4 0 09 Nov 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 30 25 0 24 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 29 77 0 22 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 16 39 0 11 Oct 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 26 119 0 29 Sep 2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy Tianshu Wang P. Melchior 18 7 0 27 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 37 5 0 12 Sep 2021
Constrained Feedforward Neural Network Training via Reachability Analysis Long Kiu Chung Adam Dai Derek Knowles Shreyas Kousik Grace Gao 16 8 0 16 Jul 2021
WAX-ML: A Python library for machine learning and feedback loops on streaming data Emmanuel Sérié KELM AI4CE 20 0 0 11 Jun 2021
To The Point: Correspondence-driven monocular 3D category reconstruction Filippos Kokkinos Iasonas Kokkinos 3DH 3DPC 26 24 0 10 Jun 2021