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Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Ready Policy One: World Building Through Active Learning
In Poster Session 17
Philip Ball · Jack Parker-Holder · Aldo Pacchiano · Krzysztof Choromanski · Stephen Roberts
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Partial Trace Regression and Low-Rank Kraus Decomposition
In Poster Session 17
Hachem Kadri · Stephane Ayache · Riikka Huusari · alain rakotomamonjy · Ralaivola Liva
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
IPBoost – Non-Convex Boosting via Integer Programming
In Poster Session 17
Marc Pfetsch · Sebastian Pokutta
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
In Poster Session 17
Arsenii Kuznetsov · Pavel Shvechikov · Alexander Grishin · Dmitry Vetrov
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Learning to Simulate Complex Physics with Graph Networks
In Poster Session 17
Alvaro Sanchez-Gonzalez · Jonathan Godwin · Tobias Pfaff · Rex (Zhitao) Ying · Jure Leskovec · Peter Battaglia
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Entropy Minimization In Emergent Languages
In Poster Session 17
Eugene Kharitonov · Rahma Chaabouni · Diane Bouchacourt · Marco Baroni
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
A distributional view on multi-objective policy optimization
In Poster Session 17
Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Francis Song · Martina Zambelli · Murilo Martins · Nicolas Heess · Raia Hadsell · Martin Riedmiller
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
In Poster Session 17
REDA ALAMI · Odalric-Ambrym Maillard · Raphaël Féraud
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Multi-step Greedy Reinforcement Learning Algorithms
In Poster Session 17
Manan Tomar · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
In Poster Session 17
Geoffrey Negiar · Gideon Dresdner · Alicia Yi-Ting Tsai · Laurent El Ghaoui · Francesco Locatello · Robert Freund · Fabian Pedregosa
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
In Poster Session 17
Dmytro Perekrestenko · Stephan Müller · Helmut Bölcskei
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
TaskNorm: Rethinking Batch Normalization for Meta-Learning
In Poster Session 17
John Bronskill · Jonathan Gordon · James Requeima · Sebastian Nowozin · Richard E Turner
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Learning the piece-wise constant graph structure of a varying Ising model
In Poster Session 17
Batiste Le Bars · Pierre Humbert · Argyris Kalogeratos · Nicolas Vayatis
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Meta-Learning with Shared Amortized Variational Inference
In Poster Session 17
Ekaterina Iakovleva · Jakob Verbeek · Karteek Alahari
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
On Contrastive Learning for Likelihood-free Inference
In Poster Session 17
Conor Durkan · Iain Murray · George Papamakarios
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Normalizing Flows on Tori and Spheres
In Poster Session 17
Danilo J. Rezende · George Papamakarios · Sebastien Racaniere · Michael Albergo · Gurtej Kanwar · Phiala Shanahan · Kyle Cranmer
Poster
Wed Jul 15 04:00 AM -- 04:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Weakly-Supervised Disentanglement Without Compromises
In Poster Session 17
Francesco Locatello · Ben Poole · Gunnar Ratsch · Bernhard Schölkopf · Olivier Bachem · Michael Tschannen
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 17
Nikita Doikov · Yurii Nesterov
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 17
Claire Vernade · Andras Gyorgy · Timothy Mann
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 17
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 05:00 PM -- 05:45 PM (KST)
Predictive Sampling with Forecasting Autoregressive Models
In Poster Session 17
Auke Wiggers · Emiel Hoogeboom
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 17
Joost van Amersfoort · Lewis Smith · Yee-Whye Teh · Yarin Gal
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 17
Jonas Köhler · Leon Klein · Frank Noe
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 17
Aleksei Triastcyn · Boi Faltings
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 17
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
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
In Poster Session 17
Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc
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 17
Ahmed Alaa · Mihaela van der Schaar
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 17
Ayush Jain · Andrew Szot · Joseph Lim
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 17
Marc Brockschmidt
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
In Poster Session 17
Asaf Cassel · Alon Cohen · Tomer Koren
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
In Poster Session 17
Alexander Vezhnevets · Yuhuai Wu · Maria Eckstein · Rémi Leblond · Joel Z Leibo
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Learning Reasoning Strategies in End-to-End Differentiable Proving
In Poster Session 17
Pasquale Minervini · Sebastian Riedel · Pontus Stenetorp · Edward Grefenstette · Tim Rocktäschel
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Why Are Learned Indexes So Effective?
In Poster Session 17
Paolo Ferragina · Fabrizio Lillo · Giorgio Vinciguerra
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Learning Similarity Metrics for Numerical Simulations
In Poster Session 17
Georg Kohl · Kiwon Um · Nils Thuerey
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Finding trainable sparse networks through Neural Tangent Transfer
In Poster Session 17
Tianlin Liu · Friedemann Zenke
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Optimal Estimator for Unlabeled Linear Regression
In Poster Session 17
Hang Zhang · Ping Li
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
In Poster Session 17
Mohamed El Amine Seddik · Cosme Louart · Mohamed Tamaazousti · Romain COUILLET
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST) @ Virtual
Improving Molecular Design by Stochastic Iterative Target Augmentation
In Poster Session 17
Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola
Poster
Wed Jul 15 06:00 AM -- 06:45 AM & Wed Jul 15 05:00 PM -- 05:45 PM (KST)
Infinite attention: NNGP and NTK for deep attention networks
In Poster Session 17
Jiri Hron · Yasaman Bahri · Jascha Sohl-Dickstein · Roman Novak