Papers
572 papers found
Approximate Inference in Structured Instances with Noisy Categorical Observations
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas
Approximate Causal Abstractions
Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern
Approximate Relative Value Learning for Average-reward Continuous State MDPs
Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
Marko Jarvenpaa, Aki Vehtari, Pekka Marttinen
Distortion estimates for approximate Bayesian inference
Hanwen Xing, Geoff Nicholls, Jeong (Kate) Lee
Flexible Approximate Inference via Stratified Normalizing Flows
Chris Cundy, Stefano Ermon
Improving approximate optimal transport distances using quantization
Gaspard Beugnot, Aude Genevay, Kristjan Greenewald et al.
Approximate implication with d-separation
Batya Kenig
Exact and approximate hierarchical clustering using A*
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath et al.
No-regret approximate inference via Bayesian optimisation
Rafael Oliveira, Lionel Ott, Fabio Ramos
Active approximately metric-fair learning
Yiting Cao, Chao Lan
Greedy modality selection via approximate submodular maximization
Runxiang Cheng, Gargi Balasubramaniam, Yifei He et al.
Laplace approximated Gaussian process state-space models
Jakob Lindinger, Barbara Rakitsch, Christoph Lippert
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
An improved variational approximate posterior for the deep Wishart process
Sebastian W. Ober, Ben Anson, Edward Milsom et al.
Approximate Thompson Sampling via Epistemic Neural Networks
Ian Osband, Zheng Wen, Seyed Mohammad Asghari et al.
Approximately Bayes-optimal pseudo-label selection
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti et al.
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence
Amin Nejatbakhsh, Erdem Varol
Approximate Neural Architecture Search via Operation Distribution Learning
Xingchen Wan, Binxin Ru, Pedro M. Esparança et al.
Computing Approximately Proportional Allocations of Indivisible Goods: Beyond Additive and Monotone Valuations
Martin Jupakkal Andersen, Ioannis Caragiannis, Anders Bo Ipsen et al.
Approximately Envy-free and Equitable Allocations of Indivisible Items for Non-monotone Valuations
Vittorio Bilò, Martin Loebl, Cosimo Vinci
Exact and Approximate Maximin Share Allocations in Multi-Graphs
George Christodoulou, Symeon Mastrakoulis