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The 2020 schedule is still incomplete
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Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Training Linear Neural Networks: Non-Local Convergence and Complexity Results
Armin Eftekhari
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Eugene Golikov
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
Nathan Kallus
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
Konstantinos Pitas
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
Alex Gittens · Kareem Aggour · Bülent Yener
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
Alexey Drutsa
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch · Hisham Husain · Tom Diethe
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
Scott Pesme · Aymeric Dieuleveut · Nicolas Flammarion
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Deep Coordination Graphs
Wendelin Boehmer · Vitaly Kurin · Shimon Whiteson
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman · Joseph Futoma · Yao Liu · Sonali Parbhoo · Leo Celi · Emma Brunskill · Finale Doshi-Velez
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Scalable Exact Inference in Multi-Output Gaussian Processes
Wessel Bruinsma · Eric Perim Martins · William Tebbutt · Scott Hosking · Arno Solin · Richard E Turner
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
k-means++: few more steps yield constant approximation
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Qi Wang · Herke van Hoof
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish · Anthony Caterini · George Deligiannidis · Arnaud Doucet
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Equivariant Neural Rendering
Emilien Dupont · Miguel Angel Bautista Martin · Alex Colburn · Aditya Sankar · Joshua M Susskind · Qi Shan
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh · Hamid Palangi · Alex Polozov · Yichen Huang · Kazuhito Koishida
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
A new regret analysis for Adam-type algorithms
Ahmet Alacaoglu · Yura Malitsky · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov · Maxim Rakhuba · Stamatios Georgoulis · Menelaos Kanakis · Dengxin Dai · Luc Van Gool
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Unique Properties of Flat Minima in Deep Networks
Rotem Mulayoff · Tomer Michaeli
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Implicit Regularization of Random Feature Models
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
No-Regret Exploration in Goal-Oriented Reinforcement Learning
Jean Tarbouriech · Evrard Garcelon · Michal Valko · Matteo Pirotta · Alessandro Lazaric
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Leonard Hasenclever · Fabio Pardo · Raia Hadsell · Nicolas Heess · Josh Merel
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz · Steven Lang · Antonio Vergari · Karl Stelzner · Alejandro Molina · Martin Trapp · Guy Van den Broeck · Kristian Kersting · Zoubin Ghahramani
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Too Relaxed to Be Fair
Michael Lohaus · Michaël Perrot · Ulrike von Luxburg
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Nonnegative Matrix Factorization
lei luo · yanfu Zhang · Heng Huang
[ Slides
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Curvature-corrected learning dynamics in deep neural networks
Dongsung Huh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho Banerjee · Saurabh Jha · Zbigniew Kalbarczyk · Ravishankar Iyer
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Learning to Encode Position for Transformer with Continuous Dynamical Model
Xuanqing Liu · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Automatic Reparameterisation of Probabilistic Programs
Maria Gorinova · Dave Moore · Matthew Hoffman
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Marc Abeille · Alessandro Lazaric
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Zahra Monfared · Daniel Durstewitz
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuan Zhou · Hongseok Yang · Yee-Whye Teh · Tom Rainforth
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Radioactive data: tracing through training
Alexandre Sablayrolles · Douze Matthijs · Cordelia Schmid · Herve Jegou