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Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Yoel Drori · Ohad Shamir
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predictive Coding for Locally-Linear Control
Rui Shu · Tung Nguyen · Yinlam Chow · Tuan Pham · Khoat Than · Mohammad Ghavamzadeh · Stefano Ermon · Hung Bui
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
Ahmed Alaa · Mihaela van der Schaar
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Learning to Rank Learning Curves
Martin Wistuba · Tejaswini Pedapati
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri · Meirav Galun · Amnon Geifman · David Jacobs · Yoni Kasten · Shira Kritchman
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen · Jerome-Alexis Chevalier · Thirion Bertrand · Sylvain Arlot
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
Anton Zhiyanov · Alexey Drutsa
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Optimistic Bounds for Multi-output Learning
Henry Reeve · Ata Kaban
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Supervised Quantile Normalization for Low Rank Matrix Factorization
Marco Cuturi · Olivier Teboul · Jonathan Niles-Weed · Jean-Philippe Vert
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth · Timo Milbich · Samrath Sinha · Prateek Gupta · Bjorn Ommer · Joseph Paul Cohen
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang · Yao Zhao · Mohammad Saleh · Peter Liu
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean · Ahmet Alacaoglu · Ya-Ping Hsieh · Volkan Cevher
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extra-gradient with player sampling for faster convergence in n-player games
Samy Jelassi · Carles Domingo-Enrich · Damien Scieur · Arthur Mensch · Joan Bruna
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier Henaff
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski · Kevin Roth · Bastiaan Veeling · Linh Tran · Joshua V Dillon · Jasper Snoek · Stephan Mandt · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Graph-based Nearest Neighbor Search: From Practice to Theory
Liudmila Prokhorenkova · Aleksandr Shekhovtsov
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill · Florent Altché · Yunhao Tang · Thomas Hubert · Michal Valko · Ioannis Antonoglou · Remi Munos
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg · Alon Cohen · Yishay Mansour · Haim Kaplan
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce · Matthias Hein
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
A quantile-based approach for hyperparameter transfer learning
David Salinas · Huibin Shen · Valerio Perrone
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Subspace Cubic Newton Method
Filip Hanzely · Nikita Doikov · Yurii Nesterov · Peter Richtarik
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi · Edouard Delasalles · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta · Yatin Chaudhary · Thomas Runkler · Hinrich Schuetze
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Graph Filtration Learning
Christoph Hofer · Florian Graf · Bastian Rieck · Marc Niethammer · Roland Kwitt
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Differential Equations with Variational Wishart Diffusions
Martin Jørgensen · Marc Deisenroth · Hugh Salimbeni
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Spectral Clustering with Graph Neural Networks for Graph Pooling
Filippo Maria Bianchi · Daniele Grattarola · Cesare Alippi
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predicting Choice with Set-Dependent Aggregation
Nir Rosenfeld · Kojin Oshiba · Yaron Singer
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 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 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 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