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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
Naoto Ohsaka · Tatsuya Matsuoka
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
Masatoshi Uehara · Jiawei Huang · Nan Jiang
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
Hongteng Xu · Dixin Luo · Ricardo Henao · Svati Shah · Lawrence Carin
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
Jungo Kasai · James Cross · Marjan Ghazvininejad · Jiatao Gu
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
Zhaoqiang Liu · Selwyn Gomes · Avtansh Tiwari · Jonathan Scarlett
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
Shinya Suzuki · Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
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
Anoop Cherian · Shuchin Aeron
[ 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
Chong Min John Tan · Mehul Motani
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-Attentive Associative Memory
Hung Le · Truyen Tran · Svetha Venkatesh
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
Kefan Dong · Yingkai Li · Qin Zhang · Yuan Zhou
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
Jianshu Zhang · Jun Du · Yongxin Yang · Yi-Zhe Song · Si Wei · Lirong Dai
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
Yonggang Zhang · Ya Li · Tongliang Liu · Xinmei Tian
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
Akshay Kamath · Eric Price · Sushrut Karmalkar
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
Jang-Hyun Kim · Wonho Choo · Hyun Oh Song
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
Chence Shi · Minkai Xu · Hongyu Guo · Ming Zhang · Jian Tang
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?
Takashi Ishida · Ikko Yamane · Tomoya Sakai · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Transformer Hawkes Process
Simiao Zuo · Haoming Jiang · Zichong Li · Tuo Zhao · Hongyuan Zha
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
Yuanyu Wan · Wei-Wei Tu · Lijun Zhang
[ 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
Tian-Zuo Wang · Xi-Zhu Wu · Sheng-Jun Huang · Zhi-Hua Zhou
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
Liang Bai · Jiye Liang
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
Chengchun Shi · Runzhe Wan · Rui Song · Wenbin Lu · Ling Leng
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
More Information Supervised Probabilistic Deep Face Embedding Learning
Ying Huang · Shangfeng Qiu · Wenwei Zhang · Xianghui Luo · Jinzhuo Wang