Tim Hoheisel, McGill University  Assistant Professor in Continuous Optimization
Address
805 Sherbrooke St West, Room 1114
Montréal, Québec, Canada H3A 0B9
Tel: 5143983807
tim.hoheisel@mcgill.ca
Research interests
My research lies at the intersection of continuous optimization and nonsmooth/setvalued analysis and therefore
between pure and applied mathematics. Hence, the problems on which I work can be motivated by a concrete application but also of purely conceptual interest. Having acquired a certain expertise in (convex and nonconvex) nonsmooth analysis and optimization, I envision
to apply these tools for problems in machine learning and data science.
Visitors
 May 1426, 2018: Matus Benko, University of Linz.
 May 4August 31, 2018: Michal Cervinka, Charles University, Prague
 April 29 May 11, 2018: Blanca Pablos, University of the Armed Forces, Munich
Students and Post Docs
 9/2018 : Quang Van Nguyen, Post Doc.
 9/2018 : George Orfanides, Masters student.
 5/2018 : AramAlexandre Pooladian, Masters student.
 58/2018 Luke Steverango, ISM summer fellowship.
 58/2018: Benjamin PaulDuboisTaine, SURA summer fellowship.
Teaching
 Winter 2019
 MATH 560/ECSE 507  Optimization
 MATH 247  Honours Applied Linear Algebra
 Fall 2018
 MATH 597  Topics in Applied Math (Convex Optimization)
 Winter 2018
 MATH 560/ECSE 507  Optimization
 Fall 2017
 MATH 417/487  Mathematical Programming (Linear Programming and Extensions)
 Winter 2017
 MATH 595  Topics in Analysis (Convex Analysis and Nonsmooth Optimization)
 Fall 2016
 MATH 417/487  Mathematical Programming (Linear Programming and Extensions)
Publications
Submitted for publication:
Journal Articles
 James V. Burke, Yuan Gao, and Tim Hoheisel: Convex geometry of the generalized matrixfractional function. SIAM Journal on Optimization, to appear.
 James V. Burke and Tim Hoheisel: Epiconvergence properties of smoothing by infimal
convolution. Setvalued and Variational Analysis 25(1), 2017, pp. 123.
 James V. Burke and Tim Hoheisel: Matrix support functionals for inverse problems, regularization, and learning. SIAM Journal on Optimization 25(2), 2015, pp. 11351159.
 Nadja Harms, Tim Hoheisel, and Christian Kanzow: On a smooth dual gap function for a class of player convex generalized Nash equilibrium problems. Journal of Optimization Theory and Applications 166(2), 2015, pp. 659–685.
 Nadja Harms, Tim Hoheisel, and Christian Kanzow: On a Smooth Dual Gap Function for a Class of QuasiVariational Inequalities.
Journal of Optimization Theory and Applications 163, 2014, pp. 413438.

James V. Burke and Tim Hoheisel: Epiconvergent smoothing with applications to convex composite functions, SIAM Journal on Optimization 23(3), 2013, pp. 14571479.

James V. Burke, Tim Hoheisel, and Christian Kanzow: Gradient consistency for integralconvolution smoothing functions. Setvalued and Variational Analysis 21(2), 2013, pp. 359376.

Wolfgang Achtziger, Tim Hoheisel and Christian Kanzow: A smoothingregularization approach
to mathematical programs with vanishing constraints. Computational Optimization and Applications 55(3), 2013, pp. 733767.

Tim Hoheisel, Christian Kanzow, and Alexandra Schwartz: Theoretical and Numerical Comparison of Relaxation Methods for Mathematical Programs with Complementarity Constraints. Mathematical Programming 137, 2013, pp. 257288.

Wolfgang Achtziger, Christian Kanzow, and Tim Hoheisel: On a relaxation method for mathematical programs with vanishing constraints. GAMMMitteilungen 35, 2012, pp. 110130.

Tim Hoheisel, Christian Kanzow, and Alexandra Schwartz: Mathematical Programs with Vanishing Constraints: A New Regularization Approach with Strong Convergence Properties. Optimization 61(6), 2012, pp. 619636.

Tim Hoheisel, Christian Kanzow, Boris S. Mordukhovich, and Hung Phan: Generalized Newton's Method Based on Graphical Derivatives. Nonlinear Analysis Series A: Theory, Methods, and Applications 75(3), 2012, pp. 13241340.

Tim Hoheisel, Christian Kanzow, and Alexandra Schwartz: Convergence of a local regularization approach for mathematical programs with complementarity or vanishing constraints. Optimization Methods and Software 27(3), 2012, 483512.

Tim Hoheisel, Christian Kanzow, and Alexandra Schwartz: Improved Convergence Properties of the LinFukushimaRegularization Method for Mathematical Programs with Complementarity Constraints. Numerical Algebra, Control, and Optimization 1(1), 2011, pp.4960.

Tim Hoheisel, Christian Kanzow and Jiri Outrata: Exact penalty results for mathematical programs with vanishing constraints. Nonlinear Analysis: Theory, Methods, and Applications 72, 2010, 25142526.

Tim Hoheisel and Christian Kanzow:
On the Abadie and Guignard Constraint
Qualification for Mathematical Programs with Vanishing Constraints,
Optimization 58, Issue 4, 2009, pp. 431  448.

Tim Hoheisel and Christian Kanzow:
Stationary Conditions for Mathematical Programs with Vanishing Constraints Using Weak
Constraint Qualifications, Journal of Mathematical Analysis and Applications 337,
2008, pp. 292310.

Tim Hoheisel and Christian Kanzow:
First and SecondOrder Optimality Conditions for Mathematical Programs
with Vanishing Constraints,
Applications of Mathematics 52, 2007, pp. 495514 (special issue dedicated to J.V. Outrata's 60th birthday).
Other publications
Thesis