Poster Presentations Guide

Poster Number	Last Name	First Name	Title
1	Afsharrad	Amirhossein	Convex Methods for Constrained Linear Bandits
2	Amini	Mohammad	Exploring Limitations and Opportunities of Monoidal Strengthening of Disjunctive Cuts
3	Clarke	Stefan	Differentiable Cutting Plane Layers for Mixed Integer Optimization
4	Cornelisse	Daphne	Human-compatible driving agents through data-regularized self-play reinforcement learning
5	Cristian	Rares Ciprian	Learning Discretization Framework for Robust Contextual Stochastic Optimization
6	Dumouchelle	Justin	Neural Heuristics for Mathematical Optimization via Value Function Approximation
7	Fochesato	Marta	Online Stochastic Optimization with Streaming Data via MRO
8	Gao	Zuguang	Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games
9	Hausner	Paul	Neural incomplete factorization: learning preconditioners for the conjugate gradient method
10	Hu	Haimin	Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
11	Hu	Hanjiang	Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
12	Hua	Yixuan	Disjunctive Sum of Squares
13	Jang	Uijeong	Computer-Assisted Design of Accelerated Composite Optimization Methods: OptISTA
14	Jiang	Jiashuo	Achieving ˜O (1/ε) Sample Complexity for Constrained Markov Decision Process
15	Kayaalp	Mert	Networked Inference and Learning Under Uncertainty
16	Li	Anjian	Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model
17	Lidard	Justin	Blending Data-Driven Priors in Dynamic Games
18	Lin	Bo	A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs: Application to Cycling Network Design
19	Liu	Jiachang	OKRidge: Scalable Optimal k-Sparse Ridge Regression
20	Maggiori	Andreas	Dynamic Correlation Clustering in Sublinear Update Time
21	Maiti	Arnab	Learning in Games under Noisy Feedback
22	Mohammadisiahroudi	Mohammad	Recent Advances of Quantum Linear Algebra and its Application in Optimization and Machine Learning
23	Nguyen	Edward Duc Hien	On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking
24	Padmanabhan	Swati	Decomposable Nonsmooth Convex Optimization: Results in Decentralized and Distributed Settings
25	Ranjan	Vinit	Verification of First-Order Methods for Parametric Quadratic Optimization
26	Rankawat	Mansi	Designing min-max algorithms using Lyapunov Function approach
27	Sambharya	Rajiv	Data-Driven Performance Guarantees for Classical and Learned Optimizers
28	Sattar	Yahya	Learning Linear Dynamics from Bilinear Observations
29	Schapiro	Samuel	Sharpness-Aware Minimization: Feature Selection and Implicit Biases
30	Shah	Sanket	Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
31	Soroka	Emiko	Smooth Path Planning with Temporal Logic Constraints as a Mixed-Integer Linear Program
32	Srikanthan	Anusha	Layered Control Architectures in Trajectory Optimization for Underactuated Robotic Systems
33	Sudhakara	Sagar	Symmetric Strategies for Cyber-Physical Systems Network Optimization: A Common Information Approach
34	Sujanani	Arnesh	A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach
35	Swamy	Gokul	Efficient Reductions for Interactive Learning from Implicit Feedback
36	Toonsi	Sarah	Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium — Except When They Do*
37	Toso	Leonardo Felipe	Bayesian Priors for Efficient Multi-task Linear Representation Learning.
38	Vallon	Charlott	Learning Hierarchical Control for Multi-Agent Capacity-Constrained Systems
39	Wang	Jie	Regularization for Adversarial Robust Learning
40	Wang	Han	Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
41	Wang	Irina	Learning Decision-Focused Uncertainty Sets in Robust Optimization
42	Wang	Tianyu	Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization
43	Wang	Yakun	A scalable linear programming based algorithm for fair K-means clustering
44	Wei	Yusi	Multi-Objective Optimization-Based Anonymization of Structured Healthcare Data for Machine Learning Applications
45	Wu	Liang	A Direct and Execution-time-certified Box-QP Algorithm for input-constrained MPC
46	Xie	Miaolan	Reliable and Adaptive Stochastic Optimization in the Face of Messy Data
47	Yang	Lujie	Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification
48	Ye	Qing	Distributionally Fair Stochastic Optimization using Wasserstein Distance
49	Zhang	Siqi	Generalization Bounds in Nonconvex Minimax Optimization: Measurement and Structures
50	Zhang	Gejia	Weather- and decision-dependent reliability modeling for smart electricity grids
51	Zhang	Minxin	A projected-search interior-point method for nonlinearly constrained optimization