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Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Smaller, more accurate regression forests using tree alternating optimization
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Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Explainable and Discourse Topic-aware Neural Language Understanding
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
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)
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
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
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Slides]
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 & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Near-linear time Gaussian process optimization with adaptive batching and resparsification
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Slides]
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 & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
A Swiss Army Knife for Minimax Optimal Transport
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Information-Theoretic Local Minima Characterization and Regularization
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
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Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Online metric algorithms with untrusted predictions
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Robustness for Code
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Slides]
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
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Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
LowFER: Low-rank Bilinear Pooling for Link Prediction
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Slides]
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 11:00 PM -- 11:45 PM (PDT)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
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
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
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
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Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
When Explanations Lie: Why Many Modified BP Attributions Fail
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Slides]
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
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Slides]