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Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
In Poster Session 37
Robert Peharz · Steven Lang · Antonio Vergari · Karl Stelzner · Alejandro Molina · Martin Trapp · Guy Van den Broeck · Kristian Kersting · Zoubin Ghahramani
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
In Poster Session 37
Alexey Drutsa
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
In Poster Session 37
Konstantinos Pitas
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Unique Properties of Flat Minima in Deep Networks
In Poster Session 37
Rotem Mulayoff · Tomer Michaeli
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
T-Basis: a Compact Representation for Neural Networks
In Poster Session 37
Anton Obukhov · Maxim Rakhuba · Stamatios Georgoulis · Menelaos Kanakis · Dengxin Dai · Luc Van Gool
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
In Poster Session 37
Leonard Hasenclever · Fabio Pardo · Raia Hadsell · Nicolas Heess · Josh Merel
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
In Poster Session 37
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
k-means++: few more steps yield constant approximation
In Poster Session 37
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
In Poster Session 37
Rob Cornish · Anthony Caterini · George Deligiannidis · Arnaud Doucet
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Implicit Regularization of Random Feature Models
In Poster Session 37
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Scalable Exact Inference in Multi-Output Gaussian Processes
In Poster Session 37
Wessel Bruinsma · Eric Perim Martins · William Tebbutt · Scott Hosking · Arno Solin · Richard E Turner
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
In Poster Session 37
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Deep Coordination Graphs
In Poster Session 37
Wendelin Boehmer · Vitaly Kurin · Shimon Whiteson
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Equivariant Neural Rendering
In Poster Session 37
Emilien Dupont · Miguel Angel Bautista Martin · Alex Colburn · Aditya Sankar · Joshua M Susskind · Qi Shan
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
In Poster Session 37
Alex Gittens · Kareem Aggour · Bülent Yener
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
In Poster Session 37
Yuan Zhou · Hongseok Yang · Yee-Whye Teh · Tom Rainforth
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Automatic Reparameterisation of Probabilistic Programs
In Poster Session 37
Maria Gorinova · Dave Moore · Matthew Hoffman
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
In Poster Session 37
Qi Wang · Herke van Hoof
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Convergence Rates of Variational Inference in Sparse Deep Learning
In Poster Session 37
Badr-Eddine Chérief-Abdellatif
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Optimal Continual Learning has Perfect Memory and is NP-hard
In Poster Session 37
Jeremias Knoblauch · Hisham Husain · Tom Diethe
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
In Poster Session 37
Saeed Amizadeh · Hamid Palangi · Alex Polozov · Yichen Huang · Kazuhito Koishida
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
In Poster Session 37
Scott Pesme · Aymeric Dieuleveut · Nicolas Flammarion
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Radioactive data: tracing through training
In Poster Session 37
Alexandre Sablayrolles · Douze Matthijs · Cordelia Schmid · Herve Jegou
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
No-Regret Exploration in Goal-Oriented Reinforcement Learning
In Poster Session 37
Jean Tarbouriech · Evrard Garcelon · Michal Valko · Matteo Pirotta · Alessandro Lazaric
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
In Poster Session 37
Omer Gottesman · Joseph Futoma · Yao Liu · Sonali Parbhoo · Leo Celi · Emma Brunskill · Finale Doshi-Velez
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Self-Attentive Hawkes Process
In Poster Session 37
Qiang Zhang · Aldo Lipani · Omer Kirnap · Emine Yilmaz
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
In Poster Session 37
Laura Rieger · Chandan Singh · William Murdoch · Bin Yu
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Discriminative Adversarial Search for Abstractive Summarization
In Poster Session 37
Thomas Scialom · Paul-Alexis Dray · Sylvain Lamprier · Benjamin Piwowarski · Jacopo Staiano
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Involutive MCMC: a Unifying Framework
In Poster Session 37
Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Super-efficiency of automatic differentiation for functions defined as a minimum
In Poster Session 37
Pierre Ablin · Gabriel Peyré · Thomas Moreau
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
On the Generalization Benefit of Noise in Stochastic Gradient Descent
In Poster Session 37
Samuel Smith · Erich Elsen · Soham De
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
In Poster Session 37
Angelos Katharopoulos · Apoorv Vyas · Nikolaos Pappas · François Fleuret
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Adding seemingly uninformative labels helps in low data regimes
In Poster Session 37
Christos Matsoukas · Albert Bou Hernandez · Yue Liu · Karin Dembrower · Gisele Miranda · Emir Konuk · Johan Fredin Haslum · Athanasios Zouzos · Peter Lindholm · Fredrik Strand · Kevin Smith
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
In Poster Session 37
Rasheed El-Bouri · David Eyre · Peter Watkinson · Tingting Zhu · David Clifton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Explicit Gradient Learning for Black-Box Optimization
In Poster Session 37
Elad Sarafian · Mor Sinay · yoram louzoun · Noa Agmon · Sarit Kraus
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs
In Poster Session 37
Aditya Rajagopal · Diederik Vink · Stylianos Venieris · Christos-Savvas Bouganis
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
Sparse Gaussian Processes with Spherical Harmonic Features
In Poster Session 37
Vincent Dutordoir · Nicolas Durrande · James Hensman
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST) @ Virtual
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
In Poster Session 37
Zoltán Á. Milacski · Barnabás Póczos · Andras Lorincz
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
In Poster Session 37
Francesco Croce · Matthias Hein
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (KST)
DeepCoDA: personalized interpretability for compositional health data
In Poster Session 37
Thomas Quinn · Dang Nguyen · Santu Rana · Sunil Gupta · Svetha Venkatesh