Papers
Discovering, Learning and Exploiting Relevance
Cem Tekin, Mihaela van der Schaar
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Yingzhen Yang, Feng Liang, Shuicheng Yan et al.
A Dual Algorithm for Olfactory Computation in the Locust Brain
Sina Tootoonian, Mate Lengyel
On the Information Theoretic Limits of Learning Ising Models
Rashish Tandon, Karthikeyan Shanmugam, Pradeep K Ravikumar et al.
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
Ian En-Hsu Yen, Cho-Jui Hsieh, Pradeep K Ravikumar et al.
Diverse Randomized Agents Vote to Win
Albert Jiang, Leandro Soriano Marcolino, Ariel D Procaccia et al.
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
Austin R Benson, Jason Lee, Bartek Rajwa et al.
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang, Jieping Ye
Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh, Jiaming Xu
General Table Completion using a Bayesian Nonparametric Model
Isabel Valera, Zoubin Ghahramani
Approximating Hierarchical MV-sets for Hierarchical Clustering
Assaf Glazer, Omer Weissbrod, Michael Lindenbaum et al.
Predicting Useful Neighborhoods for Lazy Local Learning
Aron Yu, Kristen Grauman
Reputation-based Worker Filtering in Crowdsourcing
Srikanth Jagabathula, Lakshminarayanan Subramanian, Ashwin Venkataraman
Spectral Clustering of graphs with the Bethe Hessian
Alaa Saade, Florent Krzakala, Lenka Zdeborová
Learning Time-Varying Coverage Functions
Nan Du, Yingyu Liang, Maria-Florina F Balcan et al.
Online Decision-Making in General Combinatorial Spaces
Arun Rajkumar, Shivani Agarwal
Learning Optimal Commitment to Overcome Insecurity
Avrim Blum, Nika Haghtalab, Ariel D Procaccia
Combinatorial Pure Exploration of Multi-Armed Bandits
Shouyuan Chen, Tian Lin, Irwin King et al.
(Almost) No Label No Cry
Giorgio Patrini, Richard Nock, Paul Rivera et al.
Stochastic Network Design in Bidirected Trees
xiaojian wu, Daniel R. Sheldon, Shlomo Zilberstein
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio et al.
Recursive Inversion Models for Permutations
Christopher Meek, Marina Meila
Local Linear Convergence of Forward--Backward under Partial Smoothness
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh