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Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Autoencoders with Relational Regularization
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Non-autoregressive Machine Translation with Disentangled Context Transformer
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Representation Learning via Adversarially-Contrastive Optimal Transport
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Slides]
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-Attentive Associative Memory
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multinomial Logit Bandit with Low Switching Cost
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Tree-Structured Decoder for Image-to-Markup Generation
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the Power of Compressed Sensing with Generative Models
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Graph to Graphs Framework for Retrosynthesis Prediction
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Do We Need Zero Training Loss After Achieving Zero Training Error?
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Transformer Hawkes Process
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity
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Slides]
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sparse Subspace Clustering with Entropy-Norm
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
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