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The 2020 schedule is still incomplete
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Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Alexander Vezhnevets · Yuhuai Wu · Maria Eckstein · Rémi Leblond · Joel Z Leibo
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen · Michael A Osborne
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Improving Molecular Design by Stochastic Iterative Target Augmentation
Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini · Sebastian Riedel · Pontus Stenetorp · Edward Grefenstette · Tim Rocktäschel
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Fast Differentiable Sorting and Ranking
Mathieu Blondel · Olivier Teboul · Quentin Berthet · Josip Djolonga
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Continuously Indexed Domain Adaptation
Hao Wang · Hao He · Dina Katabi
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
David Woodruff · Amir Zandieh
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Simple and sharp analysis of k-means||
Vaclav Rozhon
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Thompson Sampling via Local Uncertainty
Zhendong Wang · Mingyuan Zhou
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Decentralised Learning with Random Features and Distributed Gradient Descent
Dominic Richards · Patrick Rebeschini · Lorenzo Rosasco
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron · Yasaman Bahri · Jascha Sohl-Dickstein · Roman Novak
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi · Luca Franceschi · Massimiliano Pontil · Saverio Salzo
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Training Neural Networks for and by Interpolation
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Debiased Sinkhorn barycenters
Hicham Janati · Marco Cuturi · Alexandre Gramfort
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Learning Similarity Metrics for Numerical Simulations
Georg Kohl · Kiwon Um · Nils Thuerey
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Mohamed El Amine Seddik · Cosme Louart · Mohamed Tamaazousti · Romain COUILLET
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel · Alon Cohen · Tomer Koren
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani · Yossi Adi · Lior Wolf
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Optimal Estimator for Unlabeled Linear Regression
Hang Zhang · Ping Li
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu · Friedemann Zenke
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
John Sipple
[ Slides
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Why Are Learned Indexes So Effective?
Paolo Ferragina · Fabrizio Lillo · Giorgio Vinciguerra
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Extreme Multi-label Classification from Aggregated Labels
Yanyao Shen · Hsiang-Fu Yu · Sujay Sanghavi · Inderjit Dhillon