Papers
Learning and Inference via Maximum Inner Product Search
Stephen Mussmann, Stefano Ermon
Speeding up k-means by approximating Euclidean distances via block vectors
Thomas Bottesch, Thomas Bühler, Markus Kächele
Estimation from Indirect Supervision with Linear Moments
Aditi Raghunathan, Roy Frostig, John Duchi et al.
Pricing a Low-regret Seller
Hoda Heidari, Mohammad Mahdian, Umar Syed et al.
Dynamic Capacity Networks
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans et al.
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
Jason Altschuler, Aditya Bhaskara, Gang Fu et al.
Preconditioning Kernel Matrices
Kurt Cutajar, Michael Osborne, John Cunningham et al.
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier
Jacob Abernethy, Elad Hazan
Bidirectional Helmholtz Machines
Jorg Bornschein, Samira Shabanian, Asja Fischer et al.
Recycling Randomness with Structure for Sublinear time Kernel Expansions
Krzysztof Choromanski, Vikas Sindhwani
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
Yutian Chen, Zoubin Ghahramani
Conditional Bernoulli Mixtures for Multi-label Classification
Cheng Li, Bingyu Wang, Virgil Pavlu et al.
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity
Zhuoran Yang, Zhaoran Wang, Han Liu et al.
Geometric Mean Metric Learning
Pourya Zadeh, Reshad Hosseini, Suvrit Sra
A Box-Constrained Approach for Hard Permutation Problems
Cong Han Lim, Steve Wright
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies
David Inouye, Pradeep Ravikumar, Inderjit Dhillon
Discrete Distribution Estimation under Local Privacy
Peter Kairouz, Keith Bonawitz, Daniel Ramage
Expressiveness of Rectifier Networks
Xingyuan Pan, Vivek Srikumar
Learning Population-Level Diffusions with Generative RNNs
Tatsunori Hashimoto, David Gifford, Tommi Jaakkola
Estimating Cosmological Parameters from the Dark Matter Distribution
Siamak Ravanbakhsh, Junier Oliva, Sebastian Fromenteau et al.
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong, Stephen Merity, Richard Socher
Evasion and Hardening of Tree Ensemble Classifiers
Alex Kantchelian, J. D. Tygar, Anthony Joseph
Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
Deconstructing the Ladder Network Architecture
Mohammad Pezeshki, Linxi Fan, Philemon Brakel et al.
Recovery guarantee of weighted low-rank approximation via alternating minimization
Yuanzhi Li, Yingyu Liang, Andrej Risteski