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Oral
Tue Jun 11th 04:00 -- 04:20 PM @ Grand Ballroom
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Sepideh Mahabadi · Piotr Indyk · Shayan Oveis Gharan · Alireza Rezaei
Oral
Tue Jun 11th 04:20 -- 04:25 PM @ Grand Ballroom
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
Yifan Lei · Qiang Huang · Mohan Kankanhalli · Anthony Tung
Oral
Tue Jun 11th 04:25 -- 04:30 PM @ Grand Ballroom
Compressing Gradient Optimizers via Count-Sketches
Ryan Spring · Anastasios Kyrillidis · Vijai Mohan · Anshumali Shrivastava
Oral
Tue Jun 11th 04:30 -- 04:35 PM @ Grand Ballroom
Scalable Fair Clustering
Arturs Backurs · Piotr Indyk · Krzysztof Onak · Baruch Schieber · Ali Vakilian · Tal Wagner
Oral
Tue Jun 11th 04:35 -- 04:40 PM @ Grand Ballroom
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
Alp Yurtsever · Suvrit Sra · Volkan Cevher
Oral
Tue Jun 11th 04:40 -- 05:00 PM @ Grand Ballroom
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao · Bryon Aragam · Bingjing Zhang · Eric Xing
Oral
Tue Jun 11th 05:00 -- 05:05 PM @ Grand Ballroom
Static Automatic Batching In TensorFlow
Ashish Agarwal
Oral
Tue Jun 11th 05:05 -- 05:10 PM @ Grand Ballroom
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao · Yuwei Hu · Jordan Dotzel · Christopher De Sa · Zhiru Zhang
Oral
Tue Jun 11th 05:10 -- 05:15 PM @ Grand Ballroom
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Albert Gural · Boris Murmann
Oral
Tue Jun 11th 05:15 -- 05:20 PM @ Grand Ballroom
DL2: Training and Querying Neural Networks with Logic
Marc Fischer · Mislav Balunovic · Dana Drachsler-Cohen · Timon Gehr · Ce Zhang · Martin Vechev