Publications (28)
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
Efficient Multitask Feature and Relationship Learning
Han Zhao, Otilia Stretcu, Alex Smola +1
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos +1
Neural Machine Translation with Recurrent Attention Modeling
Zichao Yang, Zhiting Hu, Yuntian Deng +2
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
Stacked Attention Networks for Image Question Answering
Zichao Yang, Xiaodong He, Jianfeng Gao +2
Detecting and Correcting for Label Shift with Black Box Predictors
Zachary C. Lipton, Yu-Xiang Wang, Alex Smola
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-Xiang Wang, Stephen E. Fienberg, Alex Smola
Feature Hashing for Large Scale Multitask Learning
Kilian Weinberger, Anirban Dasgupta, Josh Attenberg +2
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle C. Maddix +3
Regret Bounds for Deterministic Gaussian Process Bandits
Nando de Freitas, Alex Smola, Masrour Zoghi
Deep Graphs
Emmanouil Antonios Platanios, Alex Smola
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos +1
Hokusai - Sketching Streams in Real Time
Sergiy Matusevych, Alex Smola, Amr Ahmed
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas, Alex Smola, Masrour Zoghi
Parallel Online Learning
Daniel Hsu, Nikos Karampatziakis, John Langford +1
Deep Factors with Gaussian Processes for Forecasting
Danielle C. Maddix, Yuyang Wang, Alex Smola
Exponential Families for Conditional Random Fields
Yasemin Altun, Alex Smola, Thomas Hofmann
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer +5
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi, Jakub KoneÄný, Peter Richtárik +2
Supervised Feature Selection via Dependence Estimation
Le Song, Alex Smola, Arthur Gretton +2
Randomized Nonlinear Component Analysis
David Lopez-Paz, Suvrit Sra, Alex Smola +2
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, Venkata Krishna Pillutla +3
Fast Incremental Method for Nonconvex Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos +1
Super-Samples from Kernel Herding
Yutian Chen, Max Welling, Alex Smola
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alex Smola +1
The Falling Factorial Basis and Its Statistical Applications
Yu-Xiang Wang, Alex Smola, Ryan J. Tibshirani