Papers
Online Learning for Time Series Prediction
Oren Anava, Elad Hazan, Shie Mannor et al.
Opportunistic Strategies for Generalized No-Regret Problems
Andrey Bernstein, Shie Mannor, Nahum Shimkin
Recovering the Optimal Solution by Dual Random Projection
Lijun Zhang, Mehrdad Mahdavi, Rong Jin et al.
Bounded regret in stochastic multi-armed bandits
Sébastien Bubeck, Vianney Perchet, Philippe Rigollet
The price of bandit information in multiclass online classification
Amit Daniely, Tom Helbertal
Honest Compressions and Their Application to Compression Schemes
Roi Livni, Pierre Simon
Excess risk bounds for multitask learning with trace norm regularization
Massimiliano Pontil, Andreas Maurer
A Theoretical Analysis of NDCG Type Ranking Measures
Yining Wang, Liwei Wang, Yuanzhi Li et al.
Open Problem: Lower bounds for Boosting with Hadamard Matrices
Jiazhong Nie, Manfred K. Warmuth, S.V.N. Vishwanathan et al.
Open Problem: Adversarial Multiarmed Bandits with Limited Advice
Yevgeny Seldin, Koby Crammer, Peter Bartlett
Scoring anomalies: a M-estimation formulation
Stéphan Clémençon, Jérémie Jakubowicz
Greedy Bilateral Sketch, Completion & Smoothing
Tianyi Zhou, Dacheng Tao
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha, Le Song
Dual Decomposition for Joint Discrete-Continuous Optimization
Christopher Zach
Bethe Bounds and Approximating the Global Optimum
Adrian Weller, Tony Jebara
Block Regularized Lasso for Multivariate Multi-Response Linear Regression
Weiguang Wang, Yingbin Liang, Eric Xing
Collapsed Variational Bayesian Inference for Hidden Markov Models
Pengyu Wang, Phil Blunsom
On the Asymptotic Optimality of Maximum Margin Bayesian Networks
Sebastian Tschiatschek, Franz Pernkopf
Supervised Sequential Classification Under Budget Constraints
Kirill Trapeznikov, Venkatesh Saligrama
Completeness Results for Lifted Variable Elimination
Nima Taghipour, Daan Fierens, Guy Van den Broeck et al.
Statistical Tests for Contagion in Observational Social Network Studies
Greg Ver Steeg, Aram Galstyan