Neural Fixed-Point Acceleration for Convex Optimization

21 July 2021

Papers citing "Neural Fixed-Point Acceleration for Convex Optimization"

26 / 26 papers shown

Title
Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski Paras Jain Bartolomeo Stellato G. Banjac Michael Luo Francesco Borrelli Joseph E. Gonzalez Ion Stoica Ken Goldberg OffRL 33 36 0 22 Jul 2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression Nicola Bastianello Andrea Simonetto E. Dall’Anese 44 3 0 27 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 69 191 0 25 Apr 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 100 862 0 28 Jan 2021
Training Learned Optimizers with Randomly Initialized Learned Optimizers Luke Metz C. Freeman Niru Maheswaranathan Jascha Narain Sohl-Dickstein 75 12 0 14 Jan 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 172 249 0 23 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 482 2,397 0 18 Oct 2020
Hypersolvers: Toward Fast Continuous-Depth Models Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park BDL AI4CE 51 47 0 19 Jul 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 80 211 0 15 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 434 42,393 0 03 Dec 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 83 657 0 28 Oct 2019
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 83 665 0 03 Sep 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 42 26 0 08 Jun 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 91 1,268 0 07 Apr 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,383 0 15 Nov 2018
Differentiable MPC for End-to-end Planning and Control Brandon Amos I. D. Rodriguez Jacob Sacks Byron Boots J. Zico Kolter 67 371 0 31 Oct 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 74 271 0 23 Feb 2018
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 105 1,467 0 05 Apr 2017
Learned Optimizers that Scale and Generalize Olga Wichrowska Niru Maheswaranathan Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Nando de Freitas Jascha Narain Sohl-Dickstein AI4CE 54 283 0 14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 811 11,894 0 09 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 152 961 0 01 Mar 2017
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization Stephen Gould Basura Fernando A. Cherian Peter Anderson Rodrigo Santa Cruz Edison Guo 51 225 0 19 Jul 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 101 2,006 0 14 Jun 2016
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 211 371 0 10 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014