https://openreview.net/forum?id=M8D5iZsnrO&referrer=%5Bthe%20profile%20of%20Adam%20Scibior%5D(%2Fprofile%3Fid%3D~Adam_Scibior1)
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference | OpenReview
Models of human driving behavior have long been used for prediction in autonomous vehicles, but recently have also started being used to create non-playable...
human drivingtitratedlearnedbehavior
https://arxiv.org/abs/2603.05495v1
[2603.05495v1] Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
Abstract page for arXiv paper 2603.05495v1: Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
cheap thrills2603effectiveamortizedoptimization
https://deepai.org/publication/amortized-proximal-optimization
Amortized Proximal Optimization | DeepAI
Feb 28, 2022 - 02/28/22 - We propose a framework for online meta-optimization of parameters that govern optimization, called Amortized Proximal Optimization...
amortizedproximaloptimizationdeepai
https://openreview.net/forum?id=mIl15VP7vt¬eId=wvymTmtuBG
Reliable and Efficient Amortized Model-based Evaluation | OpenReview
Current generative model evaluation procedures are costly and sensitive to test set selection, making continuous monitoring impractical. In this paper, we...
reliableefficientamortizedmodelbased
https://www.slideserve.com/cael/lecture-3-tuesday-2-9-10-amortized-analysis
PPT - Lecture 3 Tuesday, 2/9/10 Amortized Analysis PowerPoint Presentation - ID:2368363
UMass Lowell Computer Science 91.503 Graduate Analysis of Algorithms Prof. Karen Daniels Spring, 2010. Lecture 3 Tuesday, 2/9/10 Amortized Analysis. Overview....
https://www.slideserve.com/tsledge/amortized-analysis-powerpoint-ppt-presentation
PPT - Amortized Analysis for Stack Operations and Binary Counter Incrementing PowerPoint...
Learn about amortized analysis methods, complexities, and amortized costs for stack operations, multipop, binary counter incrementing. Includes potential...
amortized analysisfor stackbinary counterppt
https://www.scienceblogs.com/goodmath/2007/09/03/amortized-complexity-a-tool-fo
Amortized Complexity - a Tool for Graph Algorithms (among others) | ScienceBlogs
There are a lot of very cool problems in computer science that can be solved by using an appropriate data structure; and the data structures are often easiest...
amortized complexitygraph algorithmsamong otherstoolscienceblogs
https://jmlr.org/papers/v27/25-0858.html
LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and...
fastscalableefficiently
https://arxiv.org/abs/2409.05354
[2409.05354] Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
Abstract page for arXiv paper 2409.05354: Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
240905354recursivenestedfiltering
https://openreview.net/forum?id=6wVlH96oMX
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference | OpenReview
We propose a method to improve the efficiency and accuracy of amortized Bayesian inference by leveraging universal symmetries in the joint probabilistic model...
self consistencyfor databayesian inferenceleveragingefficient
https://openreview.net/forum?id=OYOkkqRLvj
Amortized Eigendecomposition for Neural Networks | OpenReview
Performing eigendecomposition during neural network training is essential for tasks such as dimensionality reduction, network compression, image denoising, and...
neural networksamortizedeigendecompositionopenreview
https://openreview.net/forum?id=ewgLuvnEw6
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A...
Neural networks are fragile when confronted with data that significantly deviates from their training distribution. This is true in particular for...
domain adaptation
https://arxiv.org/abs/2012.14936v1
[2012.14936v1] Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Abstract page for arXiv paper 2012.14936v1: Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
energy based model
https://openreview.net/forum?id=M8D5iZsnrO
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference | OpenReview
Models of human driving behavior have long been used for prediction in autonomous vehicles, but recently have also started being used to create non-playable...
human drivingtitratedlearnedbehavior
https://www.mathworks.com/matlabcentral/answers/392985-why-does-is-take-o-n-2-to-append-elements-in-matlab-when-it-takes-o-n-amortized-time-in-theory
Why does is take O(n^2) to append elements in matlab when it takes O(n) amortized time in theory? -...
Why does is take O(n^2) to append elements in... Learn more about maker, matlab MATLAB
https://openreview.net/forum?id=BOq3n5ewSP
AGG: Amortized Generative 3D Gaussians for Single Image to 3D | OpenReview
Given the growing need for automatic 3D content creation pipelines, various 3D representations have been studied to generate 3D objects from a single image....
single imageaggamortizedgenerative3d
https://edubirdie.com/docs/university-of-california-san-diego/cse-100-101-data-structures-and-algori/41181-amortized-analysis-aggregate-method
Amortized Analysis: Aggregate Method - Edubirdie
Understanding the Total Cost of a Sequence of Operations Using Amortized Analysis A technique for calculating... Read more
amortized analysisaggregatemethodedubirdie
https://openreview.net/forum?id=2dxsDFaESK
Amortized Projection Optimization for Sliced Wasserstein Generative Models | OpenReview
We propose to utilize amortized optimization to solve the computational issue of sliced Wasserstein in deep learning applications.
generative modelsamortizedprojectionoptimizationsliced
https://openreview.net/forum?id=1v7SRWsYve
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation | OpenReview
Model merging has emerged as an effective approach to combining multiple single-task models into a multitask model. This process typically involves computing a...
https://openreview.net/forum?id=HDbWrsgkB9
Reliable and Efficient Amortized Model-based Evaluation | OpenReview
Comprehensive evaluations of language models (LM) during both development and deployment phases are necessary because these models are thought to possess...
reliableefficientamortizedmodelbased
https://openreview.net/forum?id=vlY9GDCCA6
PAVI: Plate-Amortized Variational Inference | OpenReview
Given observed data and a probabilistic generative model, Bayesian inference searches for the distribution of the model's parameters that could have yielded...
variational inferencepaviplateamortizedopenreview
https://openreview.net/forum?id=wVeuivoUmg&referrer=%5Bthe%20profile%20of%20Sarah%20Zhao%5D(%2Fprofile%3Fid%3D~Sarah_Zhao1)
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data | OpenReview
Dimensionality reduction is crucial for analyzing large-scale single-cell RNA-seq data. Gaussian Process Latent Variable Models (GPLVMs) offer an interpretable...
single cell transcriptomicsscalableamortizeddataopenreview
https://arxiv.org/abs/2604.18319
[2604.18319] Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
Abstract page for arXiv paper 2604.18319: Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
selection bias
https://openreview.net/forum?id=rkgpy3C5tX
Amortized Bayesian Meta-Learning | OpenReview
We propose a meta-learning method which efficiently amortizes hierarchical variational inference across training episodes.
meta learningamortizedbayesianopenreview
https://www.legalzoom.com/templates/t/secured-promissory-note-amortized-payment
Secured Promissory Note Amortized Payment Template | LegalZoom
Looking for a secure way to lend money? Our amortized payment promissory note has got you covered! Protect your investment today. Create and download a...
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https://deepai.org/publication/amortized-causal-discovery-learning-to-infer-causal-graphs-from-time-series-data
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | DeepAI
Jun 18, 2020 - 06/18/20 - Standard causal discovery methods must fit a new model whenever they encounter samples from a new underlying causal graph. However...
time series datacausal discovery
https://openreview.net/forum?id=ZARAiV25CW
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation | OpenReview
Simulation-based inference (SBI) enables amortized Bayesian inference for simulators with implicit likelihoods. But when we are primarily interested in the...
bayesian inferenceamortized costgeneralizedscientific
https://arxiv.org/abs/2010.04230v1
[2010.04230v1] No MCMC for me: Amortized sampling for fast and stable training of energy-based...
Abstract page for arXiv paper 2010.04230v1: No MCMC for me: Amortized sampling for fast and stable training of energy-based models
https://arxiv.org/abs/2406.07529
[2406.07529] MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Abstract page for arXiv paper 2406.07529: MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
https://openreview.net/forum?id=exDlhqs1Qr
Amortized Proximal Optimization | OpenReview
We propose a framework for online meta-optimization of parameters that govern optimization, called Amortized Proximal Optimization (APO). We first interpret...
amortizedproximaloptimizationopenreview
https://openreview.net/forum?id=ixpSxO9flk3
No MCMC for me: Amortized sampling for fast and stable training of energy-based models | OpenReview
Energy-Based Models (EBMs) present a flexible and appealing way to represent uncertainty. Despite recent advances, training EBMs on high-dimensional data...
https://edubirdie.com/docs/university-of-california-san-diego/cse-100-101-data-structures-and-algori/41182-amortized-analysis-banker-s-method
Amortized Analysis: Banker's Method - Edubirdie
An Innovative Approach to Dynamic Array Operations Is The Banker's Method A crucial data structure in... Read more
amortized analysisbankermethodedubirdie
https://openreview.net/forum?id=RIfgKCknTu
Online Adaptation of Language Models with a Memory of Amortized Contexts | OpenReview
Due to the rapid generation and dissemination of information, large language models (LLMs) quickly run out of date despite enormous development costs. To...
language modelsonlineadaptation
https://www.rocketmortgage.com/learn/fully-amortized-loan
Understanding fully amortized loans | Rocket Mortgage
A fully amortized loan isn't as confusing as it may sound. Read about how fully amortized loans work, what they're for and what the payments consist of.
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https://openreview.net/forum?id=Kxtpa9rvM0
Sensitivity-Aware Amortized Bayesian Inference | OpenReview
Sensitivity analyses reveal the influence of various modeling choices on the outcomes of statistical analyses. While theoretically appealing, they are...
bayesian inferencesensitivityawareamortizedopenreview
https://openreview.net/forum?id=fKQEmHoLb6
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC | OpenReview
Latent space EBMs, also known as energy-based priors, have drawn growing interests in the field of generative modeling due to its flexibility in the...
learningenergybasedpriormodel
https://openreview.net/forum?id=Rw_fo_Z2vV
Amortized Variational Inference for Simple Hierarchical Models | OpenReview
It is difficult to use subsampling with variational inference in hierarchical models since the number of local latent variables scales with the dataset. Thus,...
variational inferencehierarchical modelsamortizedsimpleopenreview
https://openreview.net/forum?id=YhfrKB3Ah7
PABBO: Preferential Amortized Black-Box Optimization | OpenReview
Preferential Bayesian Optimization (PBO) is a sample-efficient method to learn latent user utilities from preferential feedback over a pair of designs. It...
black boxpabbopreferentialamortizedoptimization
https://openreview.net/forum?id=vpIeCm7YEA
From Mice to Trains: Amortized Bayesian Inference on Graph Data | OpenReview
Graphs arise across diverse domains, from biology and chemistry to social and information networks, as well as in transportation and logistics. Inference on...
bayesian inferencemicetrainsamortized
https://openreview.net/forum?id=uoUOz427RD
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference | OpenReview
We propose a method to improve the efficiency and accuracy of amortized Bayesian inference (ABI) by leveraging universal symmetries in the probabilistic joint...
self consistencyfor databayesian inferenceleveragingefficient