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Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
The Many Shapley Values for Model Explanation
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
How Good is the Bayes Posterior in Deep Neural Networks Really?
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Disentangling Trainability and Generalization in Deep Neural Networks
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Neural Contextual Bandits with UCB-based Exploration
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Non-Autoregressive Neural Text-to-Speech
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Low-loss connection of weight vectors: distribution-based approaches
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Streaming Coresets for Symmetric Tensor Factorization
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Tightening Exploration in Upper Confidence Reinforcement Learning
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Robustness to Spurious Correlations via Human Annotations
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Recovery of Sparse Signals from a Mixture of Linear Samples
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Being Bayesian about Categorical Probability
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning Algebraic Multigrid Using Graph Neural Networks
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
SoftSort: A Continuous Relaxation for the argsort Operator
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Topological Autoencoders
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Bandits with Adversarial Scaling
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Which Tasks Should Be Learned Together in Multi-task Learning?
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Domain Adaptive Imitation Learning
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Optimization and Analysis of the pAp@k Metric for Recommender Systems
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Consistent Structured Prediction with Max-Min Margin Markov Networks
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Stochastically Dominant Distributional Reinforcement Learning
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Quantum Expectation-Maximization for Gaussian mixture models
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