Papers
Streaming Principal Component Analysis in Noisy Setting
Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
Stronger Generalization Bounds for Deep Nets via a Compression Approach
Sanjeev Arora, Rong Ge, Behnam Neyshabur et al.
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji, Jian Zhang, Ruslan Salakhutdinov
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani et al.
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
Alexandre Garcia, Chloé Clavel, Slim Essid et al.
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Structured Variationally Auto-encoded Optimization
Xiaoyu Lu, Javier Gonzalez, Zhenwen Dai et al.
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang et al.
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering
Pan Li, Olgica Milenkovic
Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr Andoni, Chengyu Lin, Ying Sheng et al.
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin et al.
Synthesizing Robust Adversarial Examples
Anish Athalye, Logan Engstrom, Andrew Ilyas et al.
TACO: Learning Task Decomposition via Temporal Alignment for Control
Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter et al.
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal, Matt Kusner, Adria Gascon et al.
Tempered Adversarial Networks
Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou et al.
Temporal Poisson Square Root Graphical Models
Sinong Geng, Zhaobin Kuang, Peggy Peissig et al.
Testing Sparsity over Known and Unknown Bases
Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal
The Dynamics of Learning: A Random Matrix Approach
Zhenyu Liao, Romain Couillet
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference
Hao Lu, Yuan Cao, Zhuoran Yang et al.
The Generalization Error of Dictionary Learning with Moreau Envelopes
Alexandros Georgogiannis
The Hidden Vulnerability of Distributed Learning in Byzantium
El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault
The Hierarchical Adaptive Forgetting Variational Filter
Vincent Moens
The Limits of Maxing, Ranking, and Preference Learning
Moein Falahatgar, Ayush Jain, Alon Orlitsky et al.
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens et al.
The Mirage of Action-Dependent Baselines in Reinforcement Learning
George Tucker, Surya Bhupatiraju, Shixiang Gu et al.