Good Papers

Showing papers from Purdue University Show all papers

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NeurIPS 2026PurdueJohns HopkinsHonda Research InstituteHonda Research Institution USVideo understanding

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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NeurIPS 2026PurdueBandits & online learning

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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NeurIPS 2026PurdueLearning theory

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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NeurIPS 2026Universitys of WaterlooPurdueU WaterlooLearning theory

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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NeurIPS 2026U Illinois at Urbana-ChampaignU ArizonaPurdue, PurdueEfficient & distributed training

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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NeurIPS 2026Indian Institute of Technology, PurdueDeep RL

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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NeurIPS 2026PurdueJohns HopkinsBandits & online learning

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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NeurIPS 2026PurdueStanfordMichigan StatePurdue University RL for LLMs

$f$-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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NeurIPS 2026PurdueOhio StateLearning theory

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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NeurIPS 2026PurdueNEC Labs AmericaData curation

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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NeurIPS 2026U California, San DiegoUCSDU California San DiegoNew YorkPurdueLLM reasoning & chain of thought

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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NeurIPS 2026McGill University/MilaPurdueOptimization

$\gamma$-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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NeurIPS 2026ByteDance Inc.PurduePurdue University Bayesian & probabilistic methods

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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NeurIPS 2026PurdueCytognosis FoundationGenomics & single-cell

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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NeurIPS 2026PurdueAppleDEVCOM Army Research LaboratoryMulti-agent RL

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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NeurIPS 2026StanfordPurdueVision-language-action models

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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NeurIPS 2026PurdueBayesian & probabilistic methods

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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NeurIPS 2026SpotlightSouthern Methodist University, SNortheasternMLCommonsThe University of Texas at DallaPurdueDatasets & benchmarks

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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NeurIPS 2026PurduePurdueBandits & online learning

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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