(39 events) Time zone: Conference local time zone
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Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Ready Policy One: World Building Through Active Learning
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Partial Trace Regression and Low-Rank Kraus Decomposition
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
IPBoost – Non-Convex Boosting via Integer Programming
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Learning to Simulate Complex Physics with Graph Networks
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Entropy Minimization In Emergent Languages
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
A distributional view on multi-objective policy optimization
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Multi-step Greedy Reinforcement Learning Algorithms
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
TaskNorm: Rethinking Batch Normalization for Meta-Learning
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Learning the piece-wise constant graph structure of a varying Ising model
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Meta-Learning with Shared Amortized Variational Inference
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
On Contrastive Learning for Likelihood-free Inference
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Normalizing Flows on Tori and Spheres
Poster
Tue Jul 14 09:00 PM -- 09:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Weakly-Supervised Disentanglement Without Compromises
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Inexact Tensor Methods with Dynamic Accuracies
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Non-Stationary Delayed Bandits with Intermediate Observations
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Implicit differentiation of Lasso-type models for hyperparameter optimization
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Predictive Sampling with Forecasting Autoregressive Models
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Bayesian Differential Privacy for Machine Learning
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
An Explicitly Relational Neural Network Architecture
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Generalization to New Actions in Reinforcement Learning
Poster
Tue Jul 14 10:00 PM -- 10:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Learning Reasoning Strategies in End-to-End Differentiable Proving
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Why Are Learned Indexes So Effective?
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Learning Similarity Metrics for Numerical Simulations
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Finding trainable sparse networks through Neural Tangent Transfer
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Optimal Estimator for Unlabeled Linear Regression
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST) @ Virtual
Improving Molecular Design by Stochastic Iterative Target Augmentation
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 10:00 AM -- 10:45 AM (CEST)
Infinite attention: NNGP and NTK for deep attention networks
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