Tutorial on amortized optimization

1 February 2022

Papers citing "Tutorial on amortized optimization"

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Title
Flight Validation of Learning-Based Trajectory Optimization for the Astrobee Free-Flyer Somrita Banerjee Abhishek Cauligi Marco Pavone 24 0 0 08 May 2025
Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps Mohammad Al-Jarrah Bamdad Hosseini Amirhossein Taghvaei OT 71 0 0 16 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
Diffusion Policies for Generative Modeling of Spacecraft Trajectories Julia Briden Breanna Johnson Richard Linares Abhishek Cauligi 31 2 0 03 Jan 2025
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning Siya Chen Chee Wei Tan Xiangping Zhai H. Vincent Poor 29 1 0 31 Aug 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
Scalable unsupervised alignment of general metric and non-metric structures S. Vedula Valentino Maiorca Lorenzo Basile Francesco Locatello Alex Bronstein 38 2 0 19 Jun 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 36 1 0 12 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 40 15 0 01 Jun 2024
Scaling Laws for the Value of Individual Data Points in Machine Learning Ian Covert Wenlong Ji Tatsunori Hashimoto James Y. Zou TDI 37 8 0 30 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 57 1 0 28 May 2024
Decision-Focused Forecasting: Decision Losses for Multistage Optimisation Egon Persak Miguel F. Anjos 38 0 0 23 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 35 2 0 23 May 2024
A Survey On Text-to-3D Contents Generation In The Wild Chenhan Jiang 37 5 0 15 May 2024
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs Anselm Paulus Arman Zharmagambetov Chuan Guo Brandon Amos Yuandong Tian AAML 53 55 0 21 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 33 10 0 05 Apr 2024
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming Ethan King James Kotary Ferdinando Fioretto Ján Drgoňa 26 2 0 01 Apr 2024
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte Julien Mairal Michael Arbel 37 2 0 29 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack Jaehyung Kim Eric Mitchell Jinwoo Shin Yee Whye Teh Jonathan Richard Schwarz KELM 40 18 0 07 Mar 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 39 2 0 05 Mar 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization Zhenzhang Ye Gabriel Peyré Daniel Cremers Pierre Ablin 27 2 0 26 Feb 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 46 3 0 23 Feb 2024
SPO: Sequential Monte Carlo Policy Optimisation Matthew Macfarlane Edan Toledo Donal Byrne Paul Duckworth Alexandre Laterre 18 1 0 12 Feb 2024
AToM: Amortized Text-to-Mesh using 2D Diffusion Guocheng Qian Junli Cao Aliaksandr Siarohin Yash Kant Chaoyang Wang ... Igor Gilitschenski Jian Ren Bernard Ghanem Kfir Aberman Sergey Tulyakov DiffM 36 15 0 01 Feb 2024
Constraint-Informed Learning for Warm Starting Trajectory Optimization Julia Briden Changrak Choi Kyongsik Yun Richard Linares Abhishek Cauligi 30 3 0 21 Dec 2023
Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization Gabriele Dragotto Stefan Clarke J. F. Fisac Bartolomeo Stellato 47 5 0 06 Nov 2023
Parameterized Convex Minorant for Objective Function Approximation in Amortized Optimization Jinrae Kim Youdan Kim 19 0 0 04 Oct 2023
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances M. Khodak Edmond Chow Maria-Florina Balcan Ameet Talwalkar 43 0 0 03 Oct 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 15 12 0 14 Sep 2023
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue Taihei Oki 25 0 0 01 Sep 2023
Neural incomplete factorization: learning preconditioners for the conjugate gradient method Paul Hausner Ozan Oktem Jens Sjölund 46 7 0 25 May 2023
On amortizing convex conjugates for optimal transport Brandon Amos OT 74 27 0 21 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 44 22 0 22 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 13 14 0 22 Sep 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization Jens Sjölund Maria Bånkestad GNN 30 9 0 01 Feb 2022
A Simple Guard for Learned Optimizers Isabeau Prémont-Schwarz Jaroslav Vítkru Jan Feyereisl 38 7 0 28 Jan 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 101 58 0 29 Nov 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning Arnaud Fickinger Hengyuan Hu Brandon Amos Stuart J. Russell Noam Brown 41 21 0 30 Sep 2021
Iterative Amortized Policy Optimization Joseph Marino Alexandre Piché Alessandro Davide Ialongo Yisong Yue OffRL 52 22 0 20 Oct 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 203 2,282 0 18 Oct 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 120 100 0 28 Sep 2019
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 197 42 0 26 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 248 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 120 405 0 06 Mar 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 130 611 0 05 Mar 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016