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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
In Poster Session 26
Eugene Golikov
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
In Poster Session 26
Konstantinos Pitas
[ Slides] 
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
In Poster Session 26
Scott Pesme · Aymeric Dieuleveut · Nicolas Flammarion
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
In Poster Session 26
Ahmet Alacaoglu · Yura Malitsky · Panayotis Mertikopoulos · Volkan Cevher
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
In Poster Session 26
Dongsung Huh
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
In Poster Session 26
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
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
In Poster Session 26
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 12:00 AM -- 12:45 AM (PDT)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
In Poster Session 26
Nathan Kallus
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
In Poster Session 26
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
[ Slides] 
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
In Poster Session 26
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
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
In Poster Session 26
Rotem Mulayoff · Tomer Michaeli
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
In Poster Session 26
Badr-Eddine Chérief-Abdellatif
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Deep Coordination Graphs
In Poster Session 26
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)
Equivariant Neural Rendering
In Poster Session 26
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
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
In Poster Session 26
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
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
In Poster Session 26
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)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
In Poster Session 26
Yuan Zhou · Hongseok Yang · Yee-Whye Teh · Tom Rainforth
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
In Poster Session 26
Armin Eftekhari
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
In Poster Session 26
Xuanqing Liu · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
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
In Poster Session 26
Michael Lohaus · Michaël Perrot · Ulrike von Luxburg
[ Slides] 
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
In Poster Session 26
Maria Gorinova · Dave Moore · Matthew Hoffman
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
In Poster Session 26
Jeremias Knoblauch · Hisham Husain · Tom Diethe
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
In Poster Session 26
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
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
In Poster Session 26
Alexey Drutsa
[ Slides] 
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
In Poster Session 26
Alexandre Sablayrolles · Douze Matthijs · Cordelia Schmid · Herve Jegou
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
In Poster Session 26
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)
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
In Poster Session 26
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 & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
In Poster Session 26
Zahra Monfared · Daniel Durstewitz
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
In Poster Session 26
lei luo · yanfu Zhang · Heng Huang
[ Slides] 
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
In Poster Session 26
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)
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
In Poster Session 26
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
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
In Poster Session 26
Saeed Amizadeh · Hamid Palangi · Alex Polozov · Yichen Huang · Kazuhito Koishida
[ Slides] 
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
In Poster Session 26
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
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
In Poster Session 26
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
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
In Poster Session 26
Rob Cornish · Anthony Caterini · George Deligiannidis · Arnaud Doucet
[ Slides] 
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
In Poster Session 26
Subho Banerjee · Saurabh Jha · Zbigniew Kalbarczyk · Ravishankar Iyer
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
In Poster Session 26
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 & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
No-Regret Exploration in Goal-Oriented Reinforcement Learning
In Poster Session 26
Jean Tarbouriech · Evrard Garcelon · Michal Valko · Matteo Pirotta · Alessandro Lazaric
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
In Poster Session 26
Marc Abeille · Alessandro Lazaric
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
In Poster Session 26
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel