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Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
A quantile-based approach for hyperparameter transfer learning
In Poster Session 46
David Salinas · Huibin Shen · Valerio Perrone
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Influenza Forecasting Framework based on Gaussian Processes
In Poster Session 46
Christoph Zimmer · Reza Yaesoubi
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Stochastic Differential Equations with Variational Wishart Diffusions
In Poster Session 46
Martin Jørgensen · Marc Deisenroth · Hugh Salimbeni
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Spectral Clustering with Graph Neural Networks for Graph Pooling
In Poster Session 46
Filippo Maria Bianchi · Daniele Grattarola · Cesare Alippi
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Projective Preferential Bayesian Optimization
In Poster Session 46
Petrus Mikkola · Milica Todorović · Jari Järvi · Patrick Rinke · Samuel Kaski
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Kernel interpolation with continuous volume sampling
In Poster Session 46
Ayoub Belhadji · Rémi Bardenet · Pierre Chainais
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Modulating Surrogates for Bayesian Optimization
In Poster Session 46
Erik Bodin · Markus Kaiser · Ieva Kazlauskaite · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Stochastic Subspace Cubic Newton Method
In Poster Session 46
Filip Hanzely · Nikita Doikov · Yurii Nesterov · Peter Richtarik
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 04:00 PM -- 04:45 PM (KST)
Topic Modeling via Full Dependence Mixtures
In Poster Session 46
Dan Fisher · Mark Kozdoba · Shie Mannor
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Graph Filtration Learning
In Poster Session 46
Christoph Hofer · Florian Graf · Bastian Rieck · Marc Niethammer · Roland Kwitt
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Predicting Choice with Set-Dependent Aggregation
In Poster Session 46
Nir Rosenfeld · Kojin Oshiba · Yaron Singer
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
In Poster Session 46
Fabian Hinder · André Artelt · CITEC Barbara Hammer
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Teaching with Limited Information on the Learner's Behaviour
In Poster Session 46
Ferdinando Cicalese · Francisco Sergio de Freitas Filho · Eduardo Laber · Marco Molinaro
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST) @ Virtual
Preselection Bandits
In Poster Session 46
Viktor Bengs · Eyke Hüllermeier
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST) @ Virtual
Stochastic Latent Residual Video Prediction
In Poster Session 46
Jean-Yves Franceschi · Edouard Delasalles · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 04:00 PM -- 04:45 PM (KST)
Robust Learning with the Hilbert-Schmidt Independence Criterion
In Poster Session 46
Daniel Greenfeld · Uri Shalit
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST) @ Virtual
Latent Bernoulli Autoencoder
In Poster Session 46
Jiri Fajtl · Vasileios Argyriou · Dorothy Monekosso · Paolo Remagnino
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 04:00 PM -- 04:45 PM (KST)
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
In Poster Session 46
Fabian Latorre · Paul Rolland · Shaul Nadav Hallak · Volkan Cevher
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
A Generative Model for Molecular Distance Geometry
In Poster Session 46
Gregor Simm · Jose Miguel Hernandez-Lobato
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
The FAST Algorithm for Submodular Maximization
In Poster Session 46
Adam Breuer · Eric Balkanski · Yaron Singer
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 04:00 PM -- 04:45 PM (KST)
The Boomerang Sampler
In Poster Session 46
Joris Bierkens · Sebastiano Grazzi · Kengo Kamatani · Gareth Roberts
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 05:00 PM -- 05:45 PM (KST)
Neural Topic Modeling with Continual Lifelong Learning
In Poster Session 46
Pankaj Gupta · Yatin Chaudhary · Thomas Runkler · Hinrich Schuetze
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 04:00 PM -- 04:45 PM (KST)
Learning to Branch for Multi-Task Learning
In Poster Session 46
Pengsheng Guo · Chen-Yu Lee · Daniel Ulbricht
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST) @ Virtual
On Efficient Low Distortion Ultrametric Embedding
In Poster Session 46
Vincent Cohen-Addad · Karthik C. S. · Guillaume Lagarde
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST)
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
In Poster Session 46
Chengyu Dong · Liyuan Liu · Zichao Li · Jingbo Shang
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST) @ Virtual
Amortised Learning by Wake-Sleep
In Poster Session 46
Li Kevin Wenliang · Theodore Moskovitz · Heishiro Kanagawa · Maneesh Sahani
[ Slides] 
Poster
Fri Jul 17 05:00 AM -- 05:45 AM & Fri Jul 17 06:00 PM -- 06:45 PM (KST) @ Virtual
Convolutional Kernel Networks for Graph-Structured Data
In Poster Session 46
Dexiong Chen · Laurent Jacob · Julien Mairal
[ Slides]