| Centering Neural Network Gradient Factors | 1 | 0.41 | 2012 |
| A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning | 32 | 1.90 | 2010 |
| Variable Metric Stochastic Approximation Theory | 4 | 1.83 | 2009 |
| Variable Metric Stochastic Approximation Theory | 0 | 0.34 | 2009 |
| A quasi-Newton approach to non-smooth convex optimization | 14 | 1.29 | 2008 |
| An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking | 4 | 0.43 | 2008 |
| Using an adaptive VAR Model for motion prediction in 3D hand tracking | 1 | 0.36 | 2008 |
| Graph Kernels | 54 | 2.38 | 2008 |
| Efficient Exact Inference in Planar Ising Models | 23 | 1.06 | 2008 |
| 3D hand tracking in a stochastic approximation setting | 1 | 0.37 | 2007 |
| A Stochastic Quasi-Newton Method for Online Convex Optimization | 0 | 0.34 | 2007 |
| A Stochastic Quasi-Newton Method for Online Convex Optimization | 97 | 7.75 | 2007 |
| Fast Iterative Kernel Principal Component Analysis | 58 | 2.30 | 2007 |
| Accelerated training of conditional random fields with stochastic gradient methods | 162 | 11.89 | 2006 |
| Measures of codon bias in yeast, the tRNA pairing index and possible DNA repair mechanisms | 2 | 0.72 | 2006 |
| Fast Iterative Kernel PCA | 7 | 0.56 | 2006 |
| Fast Computation of Graph Kernels | 36 | 2.31 | 2006 |
| Step Size Adaptation in Reproducing Kernel Hilbert Space | 22 | 1.64 | 2006 |
| Step Size-Adapted Online Support Vector Learning | 0 | 0.34 | 2005 |
| Accelerating evolutionary algorithms with Gaussian process fitness function models | 93 | 4.37 | 2005 |
| Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation | 12 | 0.91 | 2005 |
| Stochastic Meta-Descent for Tracking Articulated Structures | 7 | 0.91 | 2004 |
| Combining Conjugate Direction Methods with Stochastic Approximation of Gradients. | 14 | 2.26 | 2003 |
| Learning precise timing with lstm recurrent networks | 258 | 19.52 | 2002 |
| Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems | 3 | 0.88 | 2002 |
| Step Size Adaptation In Evolution Strategies Using Reinforcement Learning | 9 | 0.59 | 2002 |
| Conjugate Directions for Stochastic Gradient Descent | 8 | 0.95 | 2002 |
| Unsupervised Learning in LSTM Recurrent Neural Networks | 9 | 0.49 | 2001 |
| Fast Curvature Matrix-Vector Products | 1 | 0.37 | 2001 |
| A fast, compact approximation of the exponential function. | 40 | 4.52 | 1999 |
| Online Independent Component Analysis With Local Learning Rate Adaptation | 13 | 2.15 | 1999 |
| Tempering Backpropagation Networks: Not All Weights Are Created Equal | 4 | 2.80 | 1995 |
| Empirical Entropy Manipulation For Real-World Problems | 35 | 6.83 | 1995 |
| Plasticity-Mediated Competitive Learning. | 0 | 0.34 | 1994 |
| Plasticity-Mediated Competitive Learning | 0 | 0.34 | 1994 |
| Temporal Difference Learning of Position Evaluation in the Game of Go | 55 | 18.04 | 1993 |
| Dynamic Parameter Encoding for Genetic Algorithms | 88 | 31.91 | 1992 |
| Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain | 9 | 1.54 | 1992 |
| Competitive Anti-Hebbian Learning Of Invariants | 9 | 26.33 | 1991 |
