Papers
On Communication Cost of Distributed Statistical Estimation and Dimensionality
Ankit Garg, Tengyu Ma, Huy Nguyen
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T Ramos et al.
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain, Ambuj Tewari, Purushottam Kar
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Online combinatorial optimization with stochastic decision sets and adversarial losses
Gergely Neu, Michal Valko
Online Decision-Making in General Combinatorial Spaces
Arun Rajkumar, Shivani Agarwal
Online Optimization for Max-Norm Regularization
Jie Shen, Huan Xu, Ping Li
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee, Jin Kyu Kim, Xun Zheng et al.
On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu et al.
On Prior Distributions and Approximate Inference for Structured Variables
Oluwasanmi O Koyejo, Rajiv Khanna, Joydeep Ghosh et al.
On Sparse Gaussian Chain Graph Models
Calvin McCarter, Seyoung Kim
On the Computational Efficiency of Training Neural Networks
Roi Livni, Shai Shalev-Shwartz, Ohad Shamir
On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara, Stefanie Jegelka, Michael I Jordan
On the Information Theoretic Limits of Learning Ising Models
Rashish Tandon, Karthikeyan Shanmugam, Pradeep K Ravikumar et al.
On the Number of Linear Regions of Deep Neural Networks
Guido F. Montufar, Razvan Pascanu, Kyunghyun Cho et al.
On the relations of LFPs & Neural Spike Trains
David E Carlson, Jana Schaich Borg, Kafui Dzirasa et al.
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
Optimal decision-making with time-varying evidence reliability
Jan Drugowitsch, Ruben Moreno-Bote, Alexandre Pouget
Optimal Neural Codes for Control and Estimation
Alex K. Susemihl, Ron Meir, Manfred Opper
Optimal prior-dependent neural population codes under shared input noise
Agnieszka Grabska-Barwinska, Jonathan W Pillow
Optimal rates for k-NN density and mode estimation
Sanjoy Dasgupta, Samory Kpotufe
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
Mehryar Mohri, Andres Munoz
Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R Patil, Xiaojin Zhu, Łukasz Kopeć et al.
Optimistic Planning in Markov Decision Processes Using a Generative Model
Balázs Szörényi, Gunnar Kedenburg, Remi Munos
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang Oh, Onkar Dalal, Kshitij Khare et al.