We introduce a procedure for predictive conditional density estimation under logarithmic loss, which we call SMP (Sample Minmax Predictor). This estimator minimizes a new general excess risk bound for supervised statistical learning. On standard examples, this bound scales as $d/n$ with $d$ the ...