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Showing papers from Purdue University Show all papers

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Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation

Gerard L Donahue, Guven Gergerli, Ayush Gupta, Reza Ghoddoosian and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Borda-Based Fair Multi-User Dueling Bandit in Tabular and Generalized Linear Settings

Maheed H Ahmed, Mahsa Ghasemi

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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A Theory of Adversary-Directed Online Learning

Steve Hanneke, Amirreza Shaeiri

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Settling the Sample Complexity of Deterministic Agnostic PAC Learning

Shai Ben-David, Steve Hanneke, Farnam Mansouri, Amirreza Shaeiri

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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Optimizing Retraining Schedules via Learning Curves

Jin Sima, Changlong Wu, Ananth Grama, Wojciech Szpankowski

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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A Refined Sample-Complexity Analysis of Robust Policy Optimization under Decaying Actor Stepsizes

Swetha Ganesh, Vaneet Aggarwal

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Multi-Objective Causal Bandits: Minimal Intervention Space and Policy-Level Learning

Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026PurduePrivacy

Tail Wags the Model: Generalization and Membership Privacy Trade-offs of Sharpness-Aware Minimization

Young In Kim, Rajiv Khanna

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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$f$-GRPO & Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment

Rajdeep Haldar, Lantao Mei, Guang Lin, Yue XING and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Order-Optimal Sample Complexity for Distribution Learning via Flow Matching

Hari K Sahoo, Mudit G Gaur, Vaneet Aggarwal

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Guiding Data Allocation for Robust Subpopulation Generalization

Zhaoying Pan, Yipei Wang, Shenyu Lu, Xiaoqian Wang

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Reasoning Pathologies in Large Language Models: A Diagnostic Perspective

Rohan Surana, Junda Wu, Sheldon Yu, Gagan Mundada and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions

Mohammad Pedramfar, Vaneet Aggarwal

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Breaking the $\sqrt{d}$ Communication Barrier in Federated Sampling with Adaptive Hamiltonian Monte Carlo

Jiajun Liang, Linxuan Wang, Guang Lin, Qifan Song

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling

Shourya Verma, Mengbo Wang, Simran Kadadi, Shahin Mohammadi and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios

Yi-Chung Chen, Mingyu Kim, Ruqi Bai, James Z Hare and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Rethink Action Chunking in VLA Through Human Motor Control

Wenxi Chen, Yuejiang Liu, Zijian He, Shaoshuai Mou and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Sticky Jump Diffusions: A Unifying Framework for Discrete, Continuous, and Hybrid Diffusion

Pascal J Dube, Patrick Pynadath, Jeremy Lu, Yuan Gao and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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OTel: Open Telco AI Datasets, Benchmarks, and Models

Farbod Tavakkoli, Gregory Diamos, Kenneth Church, David Kanter and 14 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Quantum Safe Stochastic Linear Bandits

Ruizhe Zhang, Junyi Wu, Guang Lin

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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When, Where, What: Structural Guarantees for Travel Time Prediction on Temporal Graphs

Gabriel Buginga, Gabriel D Vilela, Jincheng Zhou, Mohit Tawarmalani and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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A Frank-Wolfe Approach to Goldstein Stationarity

Swati Padmanabhan, Zitao Song, Zhe Zhang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation

Tianyu Cao, Haixiang Sun, Yang Xu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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\texttt{FEROM}: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs

Zian Su, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Marginal-Nonuniform Multiclass Learning

Nataly Brukhim, Steve Hanneke, Amirreza Shaeiri, Maximilian Thiessen

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Improving Context-Shift Robustness of Convolutional Networks via Context-Regularized Cross-Entropy

Jinen Setpal, Chaoyue Liu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Split and Bridge: Multimodal Generation via Diffusion Bridging

Ahmad Arrabi, Xiaohan Zhang, Xingyu Li, Safwan Wshah

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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A Locality-Aware Surrogate for Natural-Gradient Descent in Quantum Optimization

Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski, Ananth Grama

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Statistical Matching via Schr\"odinger Bridge beyond Conditional Independence

Eunho Koo, Jinwon Sohn, Tongseok Lim

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning

Feijie Wu, Weiwu Zhu, Yuxiang Zhang, Soumya Chatterjee and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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ShadowTransfer: A Geographic Transfer Benchmark for Overhead Shadow Detection

Shagun Mittal, Raymond A. Yeh, Satish Ukkusuri

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Hierarchical Graph Alignment for Cross-Modal 3D Scene Grounding

Tianyi Shang, Zhenyu Li

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models

Gaurav Patel, Jun Fang, Greg Ver Steeg, Qiang Qiu and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Stable GFlowNets with Probabilistic Guarantees

Zengxiang Lei, Ananth Shreekumar, Jonathan Rosenthal, Ruoyu Song and 5 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Beyond Flat Gossip: Tiered Gossip Learning for Scalable Collaborative AI

Atul Sharma, Kavindu Herath, Saurabh Bagchi, Chaoyue Liu and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients

Quotienting Markov chains by their peripheral invariant subspace separates persistent regime profiles from transient dynamics for stable policy evaluation.

Yang Xu, Vaneet Aggarwal

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures

Truncated signature inversion is reframed as learning conditional path distributions via signature-conditioned flow matching, with derived Bayes error baselines and validated reconstruction on real data.

Junoh Kang, Kiseop Lee, Bohyung Han

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Ultra Fast PDE Solving via Physics Guided Few-step Diffusion

Phys-Instruct distills diffusion PDE solvers into few-step generators with explicit physics guidance, achieving orders-of-magnitude faster inference and over 8x lower PDE error.

Xiangrui Cindy Kong, Yueqi Wang, Haoyang Zheng, Weijian Luo and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models

Cross-vocabulary tokenizer transplantation exhibits asymmetric realizability, allowing identical reconstruction coefficients to stay inert in donor anchors yet yield high-salience outputs in base anchors, forming breaker tokens that survive weight merging and evade spectral filters and LoRA mitigati

Xiaoze Liu, Weichen Yu, Matt Fredrikson, Xiaoqian Wang and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems

AgentForesight introduces online trajectory auditing that predicts multi-agent failures during execution, with a 7B model outperforming GPT-4.1 and DeepSeek-V4-Pro by up to 19.9% with 3x lower step error.

Boxuan Zhang, Jianing Zhu, Zeru Shi, Dongfang Liu and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 19

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