Papers
The Multilinear Structure of ReLU Networks
Thomas Laurent, James Brecht
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
Xudong Pan, Mi Zhang, Daizong Ding
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
Manolis Tsakiris, Rene Vidal
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
The Uncertainty Bellman Equation and Exploration
Brendan O’Donoghue, Ian Osband, Remi Munos et al.
The Weighted Kendall and High-order Kernels for Permutations
Yunlong Jiao, Jean-Philippe Vert
The Well-Tempered Lasso
Yuanzhi Li, Yoram Singer
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang, Wei Chen
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth, Adam Kosiorek, Tuan Anh Le et al.
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
Time Limits in Reinforcement Learning
Fabio Pardo, Arash Tavakoli, Vitaly Levdik et al.
Topological mixture estimation
Steve Huntsman
To Understand Deep Learning We Need to Understand Kernel Learning
Mikhail Belkin, Siyuan Ma, Soumik Mandal
Towards Binary-Valued Gates for Robust LSTM Training
Zhuohan Li, Di He, Fei Tian et al.
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li et al.
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan, Eric Battenberg, Ying Xiao et al.
Towards Fast Computation of Certified Robustness for ReLU Networks
Lily Weng, Huan Zhang, Hongge Chen et al.
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Zebang Shen, Aryan Mokhtari, Tengfei Zhou et al.
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings
Aviral Kumar, Sunita Sarawagi, Ujjwal Jain
Training Neural Machines with Trace-Based Supervision
Matthew Mirman, Dimitar Dimitrov, Pavle Djordjevic et al.
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
Andre Barreto, Diana Borsa, John Quan et al.
Transfer Learning via Learning to Transfer
Ying WEI, Yu Zhang, Junzhou Huang et al.
Transformation Autoregressive Networks
Junier Oliva, Avinava Dubey, Manzil Zaheer et al.
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli et al.
Tropical Geometry of Deep Neural Networks
Liwen Zhang, Gregory Naitzat, Lek-Heng Lim