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Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
In Poster Session 7
Marc Brockschmidt
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Predictive Sampling with Forecasting Autoregressive Models
In Poster Session 7
Auke Wiggers · Emiel Hoogeboom
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Growing Action Spaces
In Poster Session 7
Gregory Farquhar · Laura Gustafson · Zeming Lin · Shimon Whiteson · Nicolas Usunier · Gabriel Synnaeve
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
In Poster Session 7
Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
An Explicitly Relational Neural Network Architecture
In Poster Session 7
Murray Shanahan · Kyriacos Nikiforou · Antonia Creswell · Christos Kaplanis · David GT Barrett · Marta Garnelo
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
In Poster Session 7
Joost van Amersfoort · Lewis Smith · Yee-Whye Teh · Yarin Gal
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Bayesian Differential Privacy for Machine Learning
In Poster Session 7
Aleksei Triastcyn · Boi Faltings
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
In Poster Session 7
Aleksei Petrenko · Zhehui Huang · Tushar Kumar · Gaurav Sukhatme · Vladlen Koltun
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
In Poster Session 7
Allan Grønlund · Lior Kamma · Kasper Green Larsen
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST) @ Virtual
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
In Poster Session 7
Xiao Li · Chenghua Lin · Ruizhe Li · Chaozheng Wang · Frank Guerin
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Graph Random Neural Features for Distance-Preserving Graph Representations
In Poster Session 7
Daniele Zambon · Cesare Alippi · Lorenzo Livi
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
In Poster Session 7
Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST) @ Virtual
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
In Poster Session 7
Hien Le · Nicolas Gillis · Panagiotis Patrinos
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST) @ Virtual
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
In Poster Session 7
Umut Simsekli · Lingjiong Zhu · Yee-Whye Teh · Mert Gurbuzbalaban
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Optimal Randomized First-Order Methods for Least-Squares Problems
In Poster Session 7
Jonathan Lacotte · Mert Pilanci
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Inexact Tensor Methods with Dynamic Accuracies
In Poster Session 7
Nikita Doikov · Yurii Nesterov
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Linear Mode Connectivity and the Lottery Ticket Hypothesis
In Poster Session 7
Jonathan Frankle · Gintare Karolina Dziugaite · Daniel Roy · Michael Carbin
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
In Poster Session 7
Yaniv Blumenfeld · Dar Gilboa · Daniel Soudry
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Non-Stationary Delayed Bandits with Intermediate Observations
In Poster Session 7
Claire Vernade · András György · Timothy Mann
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Supervised learning: no loss no cry
In Poster Session 7
Richard Nock · Aditya Menon
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST) @ Virtual
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
In Poster Session 7
David Stutz · Matthias Hein · Bernt Schiele
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST) @ Virtual
Constant Curvature Graph Convolutional Networks
In Poster Session 7
Gregor Bachmann · Gary Becigneul · Octavian Ganea
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
In Poster Session 7
Ahmed Alaa · Mihaela van der Schaar
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
In Poster Session 7
Francesca Mignacco · Florent Krzakala · Yue Lu · Pierfrancesco Urbani · Lenka Zdeborova
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
In Poster Session 7
Tor Lattimore · Csaba Szepesvari · Gellért Weisz
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
In Poster Session 7
Jonas Köhler · Leon Klein · Frank Noe
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Meta-learning with Stochastic Linear Bandits
In Poster Session 7
Leonardo Cella · Alessandro Lazaric · Massimiliano Pontil
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Adaptive Sampling for Estimating Probability Distributions
In Poster Session 7
Shubhanshu Shekhar · Tara Javidi · Mohammad Ghavamzadeh
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
In Poster Session 7
Joeri Hermans · Volodimir Begy · Gilles Louppe
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
StochasticRank: Global Optimization of Scale-Free Discrete Functions
In Poster Session 7
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Generalization to New Actions in Reinforcement Learning
In Poster Session 7
Ayush Jain · Andrew Szot · Joseph Lim
[ Slides] 
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Implicit differentiation of Lasso-type models for hyperparameter optimization
In Poster Session 7
Quentin Bertrand · Quentin Klopfenstein · Mathieu Blondel · Samuel Vaiter · Alexandre Gramfort · Joseph Salmon
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Sequential Transfer in Reinforcement Learning with a Generative Model
In Poster Session 7
Andrea Tirinzoni · Riccardo Poiani · Marcello Restelli
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (KST)
Temporal Logic Point Processes
In Poster Session 7
Shuang Li · Lu Wang · Ruizhi Zhang · xiaofu Chang · Xuqin Liu · Yao Xie · Yuan Qi · Le Song
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 06:00 PM -- 06:45 PM (KST)
Online Convex Optimization in the Random Order Model
In Poster Session 7
Dan Garber · Gal Korcia · Kfir Levy