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Poster
Tue 7:00 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang
Poster
Thu 6:00 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh · Nhan H Pham · Lam Nguyen
Poster
Wed 12:00 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
Poster
Tue 7:00 FedBoost: A Communication-Efficient Algorithm for Federated Learning
Jenny Hamer · Mehryar Mohri · Ananda Theertha Suresh
Poster
Wed 5:00 Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto · Francis Song · Jack Rae · Razvan Pascanu · Caglar Gulcehre · Siddhant Jayakumar · Max Jaderberg · Raphael Lopez Kaufman · Aidan Clark · Seb Noury · Matthew Botvinick · Nicolas Heess · Raia Hadsell
Poster
Wed 12:00 Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel
Workshop
Fri 6:00 Participatory Approaches to Machine Learning
Angela Zhou · David Madras · Deborah Raji · Smitha Milli · Bogdan Kulynych · Richard Zemel
Poster
Wed 10:00 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
Poster
Tue 7:00 Semismooth Newton Algorithm for Efficient Projections onto 1,-norm Ball
Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao
Workshop
Thu 23:40 Graph Representation Learning and Beyond (GRL+)
Petar Veličković · Michael M. Bronstein · Andreea Deac · Will Hamilton · Jessica Hamrick · Milad Hashemi · Stefanie Jegelka · Jure Leskovec · Renjie Liao · Federico Monti · Yizhou Sun · Kevin Swersky · Rex (Zhitao) Ying · Marinka Zitnik
Poster
Thu 6:00 Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley Edwards · Himanshu Sahni · Rosanne Liu · Jane Hung · Ankit Jain · Rui Wang · Adrien Ecoffet · Thomas Miconi · Charles Isbell · Jason Yosinski
Poster
Thu 7:00 Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan