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Poster
Thu 15:00 C-MinHash: Improving Minwise Hashing with Circulant Permutation
Xiaoyun Li · Ping Li
Poster
Thu 15:00 Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman
Spotlight
Tue 8:25 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
Poster
Thu 15:00 Faster Fundamental Graph Algorithms via Learned Predictions
Justin Chen · Sandeep Silwal · Ali Vakilian · Fred Zhang
Poster
Wed 15:30 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Poster
Tue 15:30 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
Spotlight
Tue 10:50 Massively Parallel k-Means Clustering for Perturbation Resilient Instances
Vincent Cohen-Addad · Vahab Mirrokni · Peilin Zhong
Spotlight
Thu 8:40 Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Lorenzo Orecchia · Konstantinos Ameranis · Charalampos Tsourakakis · Kunal Talwar
Spotlight
Thu 11:40 SPDY: Accurate Pruning with Speedup Guarantees
Elias Frantar · Dan Alistarh
Spotlight
Thu 11:25 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
Oral
Tue 13:15 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Poster
Tue 15:30 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi