conftrace_

ICML 2016

322 papers

CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig

Minimum Regret Search for Single- and Multi-Task Optimization

Jan Hendrik Metzen

On the Consistency of Feature Selection With Lasso for Non-linear Targets

Yue Zhang, Weihong Guo, Soumya Ray

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg

The Information Sieve

Greg Ver Steeg, Aram Galstyan

Multi-Player Bandits – a Musical Chairs Approach

Jonathan Rosenski, Ohad Shamir, Liran Szlak

k-variates++: more pluses in the k-means++

Richard Nock, Raphael Canyasse, Roksana Boreli, Frank Nielsen

Why Regularized Auto-Encoders learn Sparse Representation?

Devansh Arpit, Yingbo Zhou, Hung Ngo, Venu Govindaraju

Truthful Univariate Estimators

Ioannis Caragiannis, Ariel Procaccia, Nisarg Shah

The Teaching Dimension of Linear Learners

Ji Liu, Xiaojin Zhu, Hrag Ohannessian

Metadata-conscious anonymous messaging

Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath

Dropout distillation

Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder

Data-driven Rank Breaking for Efficient Rank Aggregation

Ashish Khetan, Sewoong Oh

Hawkes Processes with Stochastic Excitations

Young Lee, Kar Wai Lim, Cheng Soon Ong

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

Kirthevasan Kandasamy, Yaoliang Yu

Diversity-Promoting Bayesian Learning of Latent Variable Models

Pengtao Xie, Jun Zhu, Eric Xing

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

Chelsea Finn, Sergey Levine, Pieter Abbeel

Revisiting Semi-Supervised Learning with Graph Embeddings

Zhilin Yang, William Cohen, Ruslan Salakhudinov

A Deep Learning Approach to Unsupervised Ensemble Learning

Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler

Uprooting and Rerooting Graphical Models

Adrian Weller

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Nihar Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin Wainwright

No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing

Nihar Shah, Dengyong Zhou