| 2008 | ICML | A quasi-Newton approach to non-smooth convex optimization. | Jin Yu, S. V. N. Vishwanathan, Simon Gnter, Nicol N. Schraudolph |
| 2008 | ICPR | An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking. | Zhidong Li, Jing Chen, Nicol N. Schraudolph |
| 2008 | MMSP | Using stochastic gradient-descent scheme in appearance model based face tracking. | Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, Nicol N. Schraudolph |
| 2006 | ICML | Accelerated training of conditional random fields with stochastic gradient methods. | S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy |
| 2006 | WABI | Measures of Codon Bias in Yeast, the tRNA Pairing Index and Possible DNA Repair Mechanisms. | Markus T. Friberg, Pedro Gonnet, Yves Barral, Nicol N. Schraudolph, Gaston H. Gonnet |
| 2004 | CVPR | Stochastic Meta-Descent for Tracking Articulated Structures. | Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool |
| 2003 | AISTATS | Combining Conjugate Direction Methods with Stochastic Approximation of Gradients. | Nicol N. Schraudolph, Thore Graepel |
| 2002 | CEC | Step size adaptation in evolution strategies using reinforcement learning. | Sibylle D. Mller, Nicol N. Schraudolph, Petros Koumoutsakos |
| 2002 | ICANN | Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. | Thore Graepel, Nicol N. Schraudolph |
| 2002 | ICANN | Conjugate Directions for Stochastic Gradient Descent. | Nicol N. Schraudolph, Thore Graepel |
| 2001 | ICANN | Unsupervised Learning in LSTM Recurrent Neural Networks. | Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jrgen Schmidhuber |
| 2001 | ICANN | Fast Curvature Matrix-Vector Products. | Nicol N. Schraudolph |