Differentiable Convex Optimization Layers

28 October 2019

Zico Kolter

Papers citing "Differentiable Convex Optimization Layers"

50 / 102 papers shown

Title
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 25 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 24 76 0 19 Jul 2022
Learning differentiable solvers for systems with hard constraints Geoffrey Negiar Michael W. Mahoney Aditi S. Krishnapriyan 18 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 47 59 0 02 Jul 2022
Stability Verification of Neural Network Controllers using Mixed-Integer Programming Roland Schwan Colin N. Jones Daniel Kuhn 14 24 0 27 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 6 13 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 19 6 0 06 Jun 2022
Learning to Sequence and Blend Robot Skills via Differentiable Optimization Noémie Jaquier You Zhou J. Starke Tamim Asfour 6 7 0 01 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 15 21 0 31 May 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 32 12 0 22 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 17 130 0 05 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 24 11 0 18 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 18 2 0 14 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep P. Chinchali AAML 27 4 0 13 Apr 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 22 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 25 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 20 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 23 228 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 14 12 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang M. Tomizuka K. Sreenath 13 23 0 04 Jan 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 18 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 15 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 33 21 0 23 Nov 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 11 25 0 24 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 16 76 0 22 Oct 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 29 5 0 12 Sep 2021
Constrained Feedforward Neural Network Training via Reachability Analysis Long Kiu Chung Adam Dai Derek Knowles Shreyas Kousik G. Gao 6 8 0 16 Jul 2021
WAX-ML: A Python library for machine learning and feedback loops on streaming data Emmanuel Sérié KELM AI4CE 10 0 0 11 Jun 2021
To The Point: Correspondence-driven monocular 3D category reconstruction Filippos Kokkinos Iasonas Kokkinos 3DH 3DPC 10 24 0 10 Jun 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 27 20 0 26 Mar 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 14 63 0 16 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 24 54 0 02 Mar 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 22 14 0 22 Feb 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 19 101 0 09 Nov 2020
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints Qingyang Tan Zherong Pan Dinesh Manocha 3DH 9 10 0 06 Nov 2020
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 24 11 0 23 Oct 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 18 191 0 29 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 17 28 0 18 Jun 2020
Learning Linear Programs from Optimal Decisions Yingcong Tan Daria Terekhov Andrew Delong 14 28 0 16 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 19 130 0 15 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 6 5 0 30 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 6 2,545 0 26 Mar 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 17 104 0 20 Feb 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 19 56 0 01 Jan 2020
Learning Convex Optimization Control Policies Akshay Agrawal Shane T. Barratt Stephen P. Boyd Bartolomeo Stellato 14 66 0 19 Dec 2019
Minimizing a Sum of Clipped Convex Functions Shane T. Barratt Guillermo Angeris Stephen P. Boyd 10 9 0 27 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 11 54 0 27 Sep 2019