2025
2025
INFORMS Annual Meeting 2025, Atlanta, GA. (October 2025)
Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods.
MCM 2025: Monte Carlo Methods Meeting, Chicago, IL. (July 2025)
Monte Carlo Based Adaptive Sampling Approaches for Stochastic Optimization.Â
ICCOPT 2025: International Conference on Continuous Optimization, Los Angeles, VA. (July 2025)
Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods.Â
Keynote Speaker, Fifth East Coast Optimization Meeting (ECOM), Arlington, VA. (April 2025)
Adaptive, Scalable, and Fast Algorithms for Nonlinear Stochastic Optimization. (presentation)
Lehigh Industrial and Systems Engineering (ISE) Seminar, Bethlehem, PA. (March 2025)
Flexible, Adaptive, and Efficient Algorithms for Decentralized Optimization. (presentation)
Winter Simulation Conference 2024, Orlando, FL. (December 2024)
Central Finite-Difference based Gradient Estimation Methods for Stochastic Optimization. (presentation)
INFORMS Annual Meeting 2024, Seattle, WA. (October 2024)
Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees. (presentation)
INFORMS Optimization Society Conference 2024, Houston, TX. (March 2024)Â
Efficient Algorithmic Frameworks for Decentralized Optimization. (presentation)
 INFORMS JFIG Early-Career Researchers Webinar (Jan 2024)
An Efficient Gradient Tracking Algorithmic Framework for Decentralized Optimization. (presentation)
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INFORMS Annual Meeting 2023, Phoenix, AZ (October 2023)
Adaptive Sampling Stochastic Sequential Quadratic Programming. (presentation)
SIAM-OPT 2023: SIAM Conference on Optimization, Seattle, Washington (May 2023)
Adaptive Sampling Stochastic Sequential Quadratic Programming. (presentation)
US & Mexico Workshop on Optimization and its Applications, Huatulco, Mexico (January 2023)
Adaptive Sampling Stochastic Sequential Quadratic Programming. (presentation)
Industrial & Systems Engineering Seminar, Texas A & M University, College Station, TX (November 2022)
Stochastic Optimization Methods for Large-Scale Machine Learning (Presentation)
INFORMS Annual Meeting 2022, Indianapolis, IN (October 2022)
On the Fast Convergence of Minibatch Heavy Ball Momentum. (Presentation)
Babuˇska Forum Seminar, ODEN Institute, The University of Texas at Austin, Austin, TX (October 2022)
Stochastic Optimization Methods for Large-Scale Machine Learning (Presentation)
ICCOPT 2022: International Conference on Continuous Optimization, Bethlehem, PA (July 2022)
Adaptive Sampling Stochastic Sequential Quadratic Programming (Presentation)
CAIMS 2022: Canadian Applied and Industrial Mathematics Society Annual Meeting, Okanagan, Canada (June 2022)
Retrospective Approximation for Stochastic Optimization. (Presentation)
Lawrence Livermore National Laboratory 2022, Livermore, CA(May 2022)
Adaptive Sampling Methods for Stochastic Optimization. (Presentation)
INFORMS Optimization Society Conference 2022, Greenville, SC (March 2022)
Retrospective Approximation for Stochastic Optimization. (Presentation)
INFORMS Annual Meeting 2021, Anaheim, CA (October 2021)
Retrospective Approximation for Stochastic Optimization. (Presentation)
SIAM-OPT 2021: SIAM Conference on Optimization, Hong Kong (July 2021)
Constrained and Composite Optimization via Adaptive Sampling Methods. (presentation)
EUROPT 2021: Workshop on Advances in Continuous Optimization, Toulouse, France (July 2021)
Retrospective Approximation for Stochastic Optimization. (presentation)
IMA 2021: IMA and OR Society Conference on Mathematics of Operations research (April 2021)
Constrained and Composite Optimization via Adaptive Sampling Methods (presentation)
Industrial & Systems Engineering Seminar, Lehigh University, Bethlehem, PA (November 2020)
Adaptive Sampling Methods for Derivative-Free Stochastic Optimization. (presentation)
ODEN Institute Seminar, The University of Texas at Austin, Austin, TX (November 2020)
Adaptive Sampling Methods for Stochastic Optimization. (presentation)
INFORMS Annual Meeting 2020, National Harbor, MD (November 2020)
Constrained and Composite Optimization via Adaptive Sampling Methods. (presentation)
LANS Seminar, Argonne National Laboratory, Lemont, IL (April 2020)
Methods for Nonlinear and Stochastic Optimization. (presentation)
Operations Research and Industrial Engineering Seminar, The University of Texas at Austin, Austin, TX (April 2020)
Adaptive Sampling Methods for Derivative-Free Stochastic Optimization. (virtual seminar)
JMM 2020: Joint Mathematics Meetings, Denver, Colorado (January 2020)
Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization. (presentation)
NeurIPS 2019 Workshop: Neural Information Processing Systems, Vancouver, Canada (December 2019)
Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization. (poster)
Operations Research and Industrial Engineering Seminar, The University of Texas at Austin, Austin, TX (October 2019)
Adaptive Sampling Quasi-Newton Methods for Stochastic Optimization. (presentation)
INFORMS Annual Meeting 2019, Seattle, WA (October 2019)
Nonlinear Acceleration of Primal-Dual Methods. (presentation)
Industrial & Systems Engineering Seminar, Virginia Tech, Blacksburg, VA (February 2019)
Methods for Nonlinear and Stochastic Optimization. (presentation)
Industrial Engineering Seminar, University of Toronto, Toronto, Canada (February 2019)
Methods for Nonlinear and Stochastic Optimization. (presentation)
Operations Research and Industrial Engineering Seminar, The University of Texas at Austin, Austin, TX (January 2019)
Methods for Nonlinear and Stochastic Optimization (presentation)
Industrial Engineering Seminar, University of Pittsburgh, Pittsburgh, PA (January 2019)
Methods for Nonlinear and Stochastic Optimization. (presentation)
Mechanical Engineering, Industrial & Systems Engineering, and Computer Science Seminar, Rensselaer Polytechnic Institute (RPI), Troy, NY (January 2019)
Methods for Nonlinear and Stochastic Optimization. (presentation)
Industrial & Operations Engineering Seminar, University of Michigan, Ann Arbor, MI (January 2019)
Methods for Nonlinear and Stochastic Optimization. (presentation)
INFORMS Annual Meeting 2018, Phoenix, AZ (November 2018)
A Progressive Batching L-BFGS Method for Machine Learning. (presentation)
AN18: SIAM Annual Meeting 2018, Portland, OR (July 2018)
Adaptive Sampling Strategies for Stochastic Optimization. (presentation)
ISMP 2018: International Symposium on Mathematical Programming, Bordeaux, France (July 2018)
A Progressive Batching L-BFGS Method for Machine Learning. (presentation)
US & Mexico Workshop on Optimization and its Applications 2018, Huatulco, Mexico (January 2018)
Adaptive Sampling Strategies for Stochastic Optimization. (presentation)
INFORMS Annual Meeting 2017, Houston, TX (October 2017)
Second Order Methods for Stochastic Optimization. (presentation)
INFORMS Applied Probability Society Conference 2017, Evanston, IL (July 2017)
Subsampled Newton Methods for Stochastic Optimization. (presentation)
SIAM-OPT 2017: SIAM Conference on Optimization, Vancouver, Canada (May 2017)
Adaptive Sampling Strategies for Stochastic Optimization. (presentation)
CASSC 2017: SIAM Student Conference (Chicago Area), Evanston, IL (April 2017)
Exact and Inexact Subsampled Newton Methods for Stochastic Optimization. (presentation)
ACNTW Workshop 2017, Chicago, IL (May 2017)
Subsampled Newton Methods for Stochastic Optimization. (poster)
WISO 2017: Workshop on the Interface of Statistics and Optimization, SAMSI, Durham, NC (February 2017)
Exact and Inexact Subsampled Newton Methods for Stochastic Optimization. (poster)