Papers
Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search
Anshumali Shrivastava, Ping Li
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables
Cho-Jui Hsieh, Matyas A Sustik, Inderjit S Dhillon et al.
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan L Ying, Hal Daume III et al.
Blind Calibration in Compressed Sensing using Message Passing Algorithms
Christophe Schulke, Francesco Caltagirone, Florent Krzakala et al.
B-test: A Non-parametric, Low Variance Kernel Two-sample Test
Wojciech Zaremba, Arthur Gretton, Matthew Blaschko
Buy-in-Bulk Active Learning
Liu Yang, Jaime Carbonell
Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Cluster Trees on Manifolds
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo et al.
Compete to Compute
Rupesh K Srivastava, Jonathan Masci, Sohrob Kazerounian et al.
Compressive Feature Learning
Hristo S Paskov, Robert West, John C Mitchell et al.
Computing the Stationary Distribution Locally
Christina E. Lee, Asuman Ozdaglar, Devavrat Shah
Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Adel Javanmard, Andrea Montanari
Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang, Angela J. Yu
Contrastive Learning Using Spectral Methods
James Y Zou, Daniel J. Hsu, David C. Parkes et al.
Convergence of Monte Carlo Tree Search in Simultaneous Move Games
Viliam Lisy, Vojta Kovarik, Marc Lanctot et al.
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
Convex Relaxations for Permutation Problems
Fajwel Fogel, Rodolphe Jenatton, Francis Bach et al.
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka, Taiji Suzuki
Convex Two-Layer Modeling
Özlem Aslan, Hao Cheng, Xinhua Zhang et al.
Correlated random features for fast semi-supervised learning
Brian McWilliams, David Balduzzi, Joachim M Buhmann
Correlations strike back (again): the case of associative memory retrieval
Cristina Savin, Peter Dayan, Mate Lengyel
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K Iyer, Stefanie Jegelka, Jeff A. Bilmes
Data-driven Distributionally Robust Polynomial Optimization
Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu