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Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Linear bandits with Stochastic Delayed Feedback
Claire Vernade · Alexandra Carpentier · Tor Lattimore · Giovanni Zappella · Beyza Ermis · Michael Brueckner
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
Jan Graßhoff · Alexandra Jankowski · Philipp Rostalski
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Forecasting Sequential Data Using Consistent Koopman Autoencoders
Omri Azencot · N. Benjamin Erichson · Vanessa Lin · Michael Mahoney
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng · Roman Bachmann · Mohammad Emtiyaz Khan
[ Slides
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models
Aytunc Sahin · Yatao Bian · Joachim Buhmann · Andreas Krause
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
Mark Kurtz · Justin Kopinsky · Rati Gelashvili · Alexander Matveev · John Carr · Michael Goin · William Leiserson · Sage Moore · Nir Shavit · Dan Alistarh
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT) @ Virtual
Probing Emergent Semantics in Predictive Agents via Question Answering
Abhishek Das · Federico Carnevale · Hamza Merzic · Laura Rimell · Rosalia Schneider · Josh Abramson · Alden Hung · Arun Ahuja · Stephen Clark · Greg Wayne · Feilx Hill
[ Slides
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitris Kalatzis · David Eklund · Georgios Arvanitidis · Søren Hauberg
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Efficiently sampling functions from Gaussian process posteriors
James Wilson · Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extrapolation for Large-batch Training in Deep Learning
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alexander Chan · Ahmed Alaa · Zhaozhi Qian · Mihaela van der Schaar
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT) @ Virtual
The continuous categorical: a novel simplex-valued exponential family
Elliott Gordon-Rodriguez · Gabriel Loaiza-Ganem · John Cunningham
[ Slides
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Optimistic Policy Optimization with Bandit Feedback
Lior Shani · Yonathan Efroni · Aviv Rosenberg · Shie Mannor
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Regularized Optimal Transport is Ground Cost Adversarial
François-Pierre Paty · Marco Cuturi
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Parallel Algorithm for Non-Monotone DR-Submodular Maximization
Alina Ene · Huy Nguyen
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Anderson Acceleration of Proximal Gradient Methods
Vien Mai · Mikael Johansson
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Gregor Simm · Robert Pinsler · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Multi-Agent Determinantal Q-Learning
Yaodong Yang · Ying Wen · Jun Wang · Liheng Chen · Kun Shao · David Mguni · Weinan Zhang