Invited Conference Presentations:
- Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers, IOS Conference, Denver, CO, March 2018.
- Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers, US & Mexico Workshop on Optimization and its Applications, Huatulco, Mexico, January 2018.
- Stochastic Proximal Quasi-Newton Algorithm for Large Scale Regularized Convex Optimization, INFORMS Annual Meeting, Houston, TX, USA, October 2017.
- Proximal Quasi-Newton Methods for Convex Optimization, INFORMS Annual Meeting, Nashville, TN, USA, November 2016.
- Derivative-Free Optimization for Hyper-Parameter Tuning in Machine Learning Problems, ICCOPT Conference, Tokyo, Japan, August 2016.
- Derivative-Free AUC Optimization, IOS Conference, Princeton, NJ, USA, March 2016.
- Accelerated Proximal Quasi-Newton Algorithm to Solve Convex Composite Problems, INFORMS Annual Meeting, Philadelphia, PA, USA, November 2015.
- Derivative-Free Optimization for Hyper-Parameter Tuning in Large Scale Machine Learning Problems, MOPTA Conference, Bethlehem, PA, USA, July 2015.
- Accelerated Proximal Quasi-Newton Algorithm to Solve Convex Composite Problems, ISMP Conference, Pittsburgh, PA, USA, July 2015.
Posters:
- Derivative-Free AUC Optimization, Optimization Methods for the Next Generation of Machine Learning, ICML Conference, New York, NY, USA, June 2016.
- Derivative-Free Optimization for Hyper-Parameter Tuning in Machine Learning Problems, Machine Learning Symposium, New York, NY, USA, March 2016.
CRA@L Lab Seminar Presentations:
- Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers, Lehigh University, PA, USA, November 2017.
- Proximal Quasi-Newton Methods for Convex Optimization, Lehigh University, PA, USA, September 2016.
- Derivative-Free AUC Optimization, Lehigh University, PA, USA, April 2016.
- Accelerated Proximal Quasi-Newton Algorithm to Solve Convex Composite Problems, Lehigh University, PA, USA, April 2015.