Abstract is missing.
- A Conjugate Property between Loss Functions and Uncertainty Sets in Classification ProblemsTakafumi Kanamori, Akiko Takeda, Taiji Suzuki. [doi]
- A Characterization of Scoring Rules for Linear PropertiesJacob D. Abernethy, Rafael M. Frongillo. [doi]
- Commentary on "The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators"Peter Grünwald. [doi]
- L1 Covering Numbers for Uniformly Bounded Convex FunctionsAdityanand Guntuboyina, Bodhisattva Sen. [doi]
- Autonomous Exploration For Navigating In MDPsShiau Hong Lim, Peter Auer. [doi]
- PrefaceShie Mannor, Nathan Srebro. [doi]
- Analysis of Thompson Sampling for the Multi-armed Bandit ProblemShipra Agrawal, Navin Goyal. [doi]
- The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood EstimatorsFares Hedayati, Peter L. Bartlett. [doi]
- PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive ModelTaiji Suzuki. [doi]
- Computational Bounds on Statistical Query LearningVitaly Feldman, Varun Kanade. [doi]
- Consistency of Nearest Neighbor Classification under Selective SamplingSanjoy Dasgupta. [doi]
- A Method of Moments for Mixture Models and Hidden Markov ModelsAnimashree Anandkumar, Daniel Hsu, Sham M. Kakade. [doi]
- Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent?Ohad Shamir. [doi]
- Unsupervised SVMs: On the Complexity of the Furthest Hyperplane ProblemZohar Shay Karnin, Edo Liberty, Shachar Lovett, Roy Schwartz, Omri Weinstein. [doi]
- The Best of Both Worlds: Stochastic and Adversarial BanditsSébastien Bubeck, Aleksandrs Slivkins. [doi]
- Random Design Analysis of Ridge RegressionDaniel Hsu, Sham M. Kakade, Tong Zhang 0001. [doi]
- Learning DNF Expressions from Fourier SpectrumVitaly Feldman. [doi]