ICCOPT2025USC: Full Schedule

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5:45pm PDT

Poster Session

Tuesday July 22, 2025 5:45pm - 7:15pm PDT

Olin Hall of Engineering (OHE) Patio @ 3650 McClintock Ave, Los Angeles, CA 90089

Poster Session (Please see attached files for abstracts)

Poster 1: Weighted Data Valuation for Statistical Learning via DC Programming Methods
Presenter: Hassan Nojavan

Poster 2: On the Infeasibility of Convex QCQPs
Presenter: Matias Villagra

Poster 3: Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
Presenter: Xiaokai Chen

Poster 4: The Nonconvex Riemannian Proximal Gradient Method
Presenter: Paula J. John

Poster 5: A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Presenter: Dan Greenstein

Poster 6: Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Presenter: Aaron Mishkin

Poster 7: The Convex Riemannian Proximal Gradient Method
Presenter: Hajg Jasa

Poster 8: DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
Presenter: Tianyu Cao

Poster 9: Limitations of Iterative Refinement for Enhancing Precision in Linear Optimization
Presenter: Henry Graven

Poster 10: Comparative Study of Sampling-based Multistage Stochastic Linear Programming Algorithms
Presenter: Zhiyuan Zhang

Poster 11: Hamiltonian Simulation of the Quantum Central Path Algorithm
Presenter: Jialu Bao

Poster 12: Interior Point Methods for Sequential Hypothesis Testing via Online Optimization
Presenter: Can Chen

Poster 13: A Stability Principle for Learning under Non-Stationarity
Presenter: Chengpiao Huang

Poster 14: Physics-informed deep learning for certain classes of non-convex and mixed-integer PDE-constrained optimization problems
Presenter: Smajil Halilovic

Poster 15: A Mean-Field Theory for Stochastic Optimization with Decisions Truncated by Random Variables
Presenter: Jie Wang

Poster 16: Tight Ergodic Convergence Rates for Splitting Methods Applied to Saddle Point Problems
Presenter: Edward Nguyen

Speakers

Jie Wang

Name: Dr. Slothington "Slow Convergence" McNapface Title: Distinguished Professor of Continuous Optimization & Energy Minimization Affiliation: The Lush Canopy Institute of Sluggish Algorithms Bio: Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →

Hassan Nojavan

Matias Villagra

Xiaokai Chen

Name: Dr. Slothington "Slow Convergence" McNapfaceTitle: Distinguished Professor of Continuous Optimization & Energy MinimizationAffiliation: The Lush Canopy Institute of Sluggish AlgorithmsBio:Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →

Paula John

Master Student, University of Göttingen

Dan Greenstein

PhD Student, Technion - Israel Institute of Technology

I am a PhD student at the Technion, specializing in nonconvex optimization, often involving stochastic elements in the problem formulation, solution methods, or both. My broader research interests include graph algorithms and discrete optimization.

Aaron Mishkin

PhD Student, Stanford University

I am a fifth-year PhD student in the Department of Computer Science at Stanford University. I am fortunate to be supervised by Mert Pilanci. My research interests are in optimization for machine learning. Previously, I completed a master's in computer science at the University o... Read More →

Hajg Jasa

Ph.D. Candidate, Norwegian University of Science and Technology (NTNU)

Name: Hajg JasaTitle: Ph.D. Candidate in Nonsmooth Riemannian OptimizationAffiliation: Department of Mathematical Sciences (IMF) at NTNU

Tianyu Cao

Henry Graven

Name: Dr. Slothington "Slow Convergence" McNapfaceTitle: Distinguished Professor of Continuous Optimization & Energy MinimizationAffiliation: The Lush Canopy Institute of Sluggish AlgorithmsBio:Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →

Zhiyuan Zhang

Jialu Bao

Can Chen

PhD, UC San Diego

Hi! I’m Can Chen, a first-year PhD student in Data Science at the Halıcıoğlu Data Science Institute, University of California San Diego. I’m fortunate to be advised by Prof. Jun-Kun Wang. My research interest lies in online learning and online optimization. Recently, I am working on the Interior Point Methods for Sequential Hypothesis Testing via Online Optimization... Read More →

Chengpiao Huang

Smajil Halilovic

PostDoc, Research group leader, Technical University of Munich

My main research interest lies in developing efficient approaches to solve complex optimization problems in the field of energy resources and systems. This particularly includes PDE-constrained optimization problems where physical phenomena are governed by partial differential equations... Read More →

Edward Nguyen

Poster Session docx

Tuesday July 22, 2025 5:45pm - 7:15pm PDT
Olin Hall of Engineering (OHE) Patio 3650 McClintock Ave, Los Angeles, CA 90089

Event