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Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Fairwashing explanations with off-manifold detergent
In Poster Session 36
Christopher Anders · Plamen Pasliev · Ann-Kathrin Dombrowski · Klaus-robert Mueller · Pan Kessel
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
In Poster Session 36
Markos Georgopoulos · Grigorios Chrysos · Maja Pantic · Yannis Panagakis
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
PolyGen: An Autoregressive Generative Model of 3D Meshes
In Poster Session 36
Charlie Nash · Yaroslav Ganin · S. M. Ali Eslami · Peter Battaglia
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST) @ Virtual
From Local SGD to Local Fixed-Point Methods for Federated Learning
In Poster Session 36
Grigory Malinovsky · Dmitry Kovalev · Elnur Gasanov · Laurent CONDAT · Peter Richtarik
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
PackIt: A Virtual Environment for Geometric Planning
In Poster Session 36
Ankit Goyal · Jia Deng
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
A Geometric Approach to Archetypal Analysis via Sparse Projections
In Poster Session 36
Vinayak Abrol · Pulkit Sharma
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Gamification of Pure Exploration for Linear Bandits
In Poster Session 36
Rémy Degenne · Pierre Menard · Xuedong Shang · Michal Valko
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST) @ Virtual
Adaptive Gradient Descent without Descent
In Poster Session 36
Yura Malitsky · Konstantin Mishchenko
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime
In Poster Session 36
Stéphane d'Ascoli · Maria Refinetti · Giulio Biroli · Florent Krzakala
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
In Poster Session 36
Nathan Kallus
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
A new regret analysis for Adam-type algorithms
In Poster Session 36
Ahmet Alacaoglu · Yura Malitsky · Panayotis Mertikopoulos · Volkan Cevher
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
In Poster Session 36
Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Training Linear Neural Networks: Non-Local Convergence and Complexity Results
In Poster Session 36
Armin Eftekhari
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Attentive Group Equivariant Convolutional Networks
In Poster Session 36
David Romero · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
In Poster Session 36
Miles Lopes · Jessie X.T. Chen
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST) @ Virtual
Boosting Frank-Wolfe by Chasing Gradients
In Poster Session 36
Cyrille W. Combettes · Sebastian Pokutta
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 04:00 PM -- 04:45 PM (KST)
Up or Down? Adaptive Rounding for Post-Training Quantization
In Poster Session 36
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort