Papers
On the Universality of Invariant Networks
Haggai Maron, Ethan Fetaya, Nimrod Segol et al.
On Variational Bounds of Mutual Information
Ben Poole, Sherjil Ozair, Aaron Van Den Oord et al.
Open-ended learning in symmetric zero-sum games
David Balduzzi, Marta Garnelo, Yoram Bachrach et al.
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic, Badal Singh, Animashree Anandkumar
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards
Shiyin Lu, Guanghui Wang, Yao Hu et al.
Optimal Auctions through Deep Learning
Paul Duetting, Zhe Feng, Harikrishna Narasimhan et al.
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
Yatao Bian, Joachim Buhmann, Andreas Krause
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
Raphael Meyer, Jean Honorio
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika et al.
Optimal Mini-Batch and Step Sizes for SAGA
Nidham Gazagnadou, Robert Gower, Joseph Salmon
Optimal Minimal Margin Maximization with Boosting
Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund
Optimal Transport for structured data with application on graphs
Vayer Titouan, Nicolas Courty, Romain Tavenard et al.
Optimistic Policy Optimization via Multiple Importance Sampling
Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo et al.
Orthogonal Random Forest for Causal Inference
Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
Alessandro Davide Ialongo, Mark Van Der Wilk, James Hensman et al.
Overcoming Multi-model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani Smires et al.
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits
Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan
PAC Learnability of Node Functions in Networked Dynamical Systems
Abhijin Adiga, Chris J Kuhlman, Madhav Marathe et al.
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization
Songtao Lu, Mingyi Hong, Zhengdao Wang
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski et al.
Pareto Optimal Streaming Unsupervised Classification
Soumya Basu, Steven Gutstein, Brent Lance et al.
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
Seungyong Moon, Gaon An, Hyun Oh Song
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini et al.