Papers
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau, Tianyu Li, Doina Precup
Conservative Exploration using Interleaving
Sumeet Katariya, Branislav Kveton, Zheng Wen et al.
Consistent Online Optimization: Convex and Submodular
Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi et al.
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
Anirudh Vemula, Wen Sun, J. Bagnell
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar et al.
Correcting the bias in least squares regression with volume-rescaled sampling
Michal Derezinski, Manfred K. Warmuth, Daniel Hsu
Correspondence Analysis Using Neural Networks
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon
Cost aware Inference for IoT Devices
Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng et al.
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing et al.
Database Alignment with Gaussian Features
Osman E. Dai, Daniel Cullina, Negar Kiyavash
Data-dependent compression of random features for large-scale kernel approximation
Raj Agrawal, Trevor Campbell, Jonathan Huggins et al.
Data-Driven Approach to Multiple-Source Domain Adaptation
Petar Stojanov, Mingming Gong, Jaime Carbonell et al.
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
Jiahao Xie, Chao Zhang, Zebang Shen et al.
Deep learning with differential Gaussian process flows
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki et al.
Deep Neural Networks Learn Non-Smooth Functions Effectively
Masaaki Imaizumi, Kenji Fukumizu
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex
Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov
Deep Switch Networks for Generating Discrete Data and Language
Payam Delgosha, Naveen Goela
Deep Topic Models for Multi-label Learning
Rajat Panda, Ankit Pensia, Nikhil Mehta et al.
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang, Percy Liang
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik, Ashwin Pananjady, Kush Bhatia et al.
Designing Optimal Binary Rating Systems
Nikhil Garg, Ramesh Johari
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet, Jordan Ellenberg
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
Mike Wu, Noah Goodman, Stefano Ermon
Differentially Private Online Submodular Minimization
Adrian Rivera Cardoso, Rachel Cummings
Direct Acceleration of SAGA using Sampled Negative Momentum
Kaiwen Zhou, Qinghua Ding, Fanhua Shang et al.