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Showing papers from University of Texas at Austin Show all papers

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Multigroup Fairness and Omniprediction: Separations and Equivalences

Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade, Omer Reingold 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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Optimizing Analytic Constants via AI-Guided Lean Proof Refinement

Rahul Saha, Alan Li, Anton Xue, Adam Klivans and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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One-Shot Private Confidence Regions via Resampling

Po-Ling Loh, Debepsita Mukherjee, Shourya Pandey, Purnamrita Sarkar

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

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Proper Agnostic Learning of Functions of Halfspaces

Sergei Tikhonov, Arsen Vasilyan

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

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Robust-by-Design Distributional Learning from Contaminated Samples

Nevena Gligić, Arya Farahi

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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MindShape: Superquadric-Constrained High-Fidelity 3D Reconstruction from fMRI

Xiaoquan Shen, Ming Li, Jianxiong Gao, Jiaxuan Chen and 3 more

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

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MCM-DM: Towards Better Spatio-Temporal Event Representation Learning via Discrete Morse Theory

Yuanheng Zhang, Jennifer Rozenblit, Chenguang Yang, Jaidev Goel and 2 more

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

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SPLICE: Structured Prompt Local Iterative Combinatorial Evolution

Dr. Anish Acharya, Phillip Studans, Amit Dhanda, Ninad V Rao and 3 more

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

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Prediction-only distillation with optimal mixing in ridge-regularized linear and logistic regression

Hien Dang, Pratik Patil, Alessandro Rinaldo

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

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Parasite Features: Causal Abstraction Through Spurious Pathways

Denis Sutter, Qing Yao, Sasha Boguraev, Julian Minder and 4 more

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

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MaterialsSaddles: 34 Million Transition States and a Flow-Matching Saddle-Point Predictor for Materials

Ilgar Baghishov, Sung Hoon Jung, Graeme Henkelman

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

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CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs

Trong Khiem Tran, Long M Bui, Phi Le Nguyen, Mrinal K Sen and 3 more

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

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Online Control with Multiple Sensors

Matthew Faw, Siva Theja Maguluri

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

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SiliciclasticReservoirs: A Million-Reservoir Dataset and Flow-Matching Foundation Model for 3D Siliciclastic Reservoir Generation

Ilgar Baghishov, Elnara Rustamzade, Graeme Henkelman, John Foster and 1 more

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

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lenient 1/5
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A Private Empirical Defense Against Privacy Audits

Saloni Modi, Srivi Balaji, Yusong Zhu, Gautam Kamath and 1 more

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

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Anchored Protein Engineering

Chi Zhang, Maria Rosaria Briglia, Litu Rout, Jeffrey Ouyang-Zhang and 4 more

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

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LIPAR: Latent Inter-Frame Pruning with Attention Recovery

Dennis Y Menn, Yuedong Yang, Bokun Wang, Xiwen Wei and 5 more

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

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From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining

Ying Chen, Zhangyang "Atlas" Wang, Yixuan He

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

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Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL

Dongsu Lee, Sooraj Sathish, Joonkyung Kim, Woojun Kim and 1 more

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

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TSFM Meets LLM: Context as Covariate

Hemanth Ram Govindarajan Kirubaharan, Sai Shankar Narasimhan, Shubhankar Agarwal, Sandeep Chinchali

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

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LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

Hyunji Lee, Justin Chen, Joykirat Singh, Zaid Khan and 2 more

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

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AdaAlloc: Adaptive Visual Token Allocation for Long-Video Question Answering

Joungbin An, Kristen Grauman

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

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TensorCommitments: A Lightweight Verifiable Inference for Large Language Models

Oguzhan Baser, Elahe Sadeghi, Eric Wang, Nico Vergauwen and 4 more

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

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Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions

Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras

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

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67%Highly rated
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Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale

Siddharth Gollapudi, Prasann Singhal, Nilesh Gupta, Sewon Min

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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A Stability Analysis of AdamW: Unstable Equilibria and Non-Convergence

Baiyu Su, Lizhang Chen, Qiang Liu

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

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Meta-Reinforcement Learning with Zero-Shot Reinforcement Learning

Jake Grigsby, Siddhant Agarwal, Yu Lei, Leonidas Varveropoulos and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Structured Masked Diffusion for Joint Multiuser Decoding

CIDER is a masked-diffusion multiuser decoder using demixing and parity-aware propagation to outperform joint belief propagation by 6-100x in speed with matching error rates.

Taekyun Lee, Jiyoung Yun, Jeffrey Andrews, Hyeji Kim

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

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lenient 3/5
medium 6/10
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83%Must read
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Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search

Lean Refactor uses retrieval-augmented agentic strategy search to multi-objectively refactor Lean proofs, achieving over 70% token compression and up to 60% faster compilation with stronger version transfer.

Jialin Lu, Soonho Kong, Rodrigo Stehling, Kaiyu Yang and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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83%Must read
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Test-time Multi-agent Coordination by Decomposed Value Gradient Flow

SCOUT combines generative behavioral priors with decomposed value functions via test-time Stein gradient transport, achieving scalable offline multi-agent coordination with vanishing joint soft-value gaps.

Dongsu Lee, Haoran Xu, Amy Zhang

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

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lenient 2/5
medium 9/10
strict 2/5
76%Highly rated
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Total Variation Distance Estimation in Autoregressive Models

Estimating total variation distance between autoregressive models uses Õ(n²K/ε²) samples, O(n/ε²) logit queries, and interpolates under noisy access, with practical LLM engine comparisons.

Eric Price, Kevin Tian, Zhiyang Xun, Yusong Zhu

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

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lenient 5/5
medium 4/10
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When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding

Co-Coder formalizes multi-agent coding as graph partitioning to balance parallel speedups against communication overhead, improving pass rates by 14% and cutting costs 35% on dense repositories.

Xu Yang, Lunyiu Nie, Ethan Chandra, Stanislav Gannutin and 2 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 10/10
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70%Highly rated
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Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization

Reformulating constrained black-box optimization as latent-space posterior inference with flow-based surrogates and amortized diffusion sampling improves high-dimensional optimization performance.

Kiyoung Om, Kyuil Sim, Taeyoung Yun, Hyeongyu Kang and 1 more

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

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AI panel: 5 of 20 reviewers recommend it
lenient 4/5
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88%Must read
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Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model

Optimal LR schedules for a solvable random feature model reveal easy-phase polynomial decay and hard-phase warmup-stable-decay regimes that improve scaling over constant or power-law schedules, with momentum and batch ramps further enhancing wall-clock time.

Blake Bordelon, Francesco Mori

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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lenient 4/5
medium 9/10
strict 2/5
72%Highly rated
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Bayesian Additive Distribution Regression

DistBART applies BART priors to distribution regression via Riesz representers, yielding adaptive convergence, nonlinear extensions, and scalable random-feature inference.

Antonio R Linero, Jared Murray, Soumyabrata Bose

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

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lenient 3/5
medium 4/10
strict 1/5
72%Highly rated
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Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization

SDBPG adaptively perturbs dual formulations to stabilize multipliers near lower-level stationary points, yielding first explicit sample-complexity guarantees for stochastic nonconvex simple bilevel optimization.

Mohammad Mahdi Ahmadi, Jincheng Cao, Aryan Mokhtari, Erfan Yazdandoost Hamedani

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

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lenient 2/5
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80%Must read
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AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals

AVSD separates cross-view consensus from privileged residuals in multi-view self-distillation to adaptively supervise reasoning models, improving math and code benchmarks over single-view methods and GRPO.

Duy Nguyen, Hanqi Xiao, Archiki Prasad, Zaid Khan and 6 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
72%Highly rated
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Optimal Recalibration of an Online Predictor

An online algorithm achieves optimal ε-recalibration with ε² excess error in ε⁻³ rounds via Blackwell approachability, and yields simultaneous calibration and calibeating for smooth losses.

Lunjia Hu, Kevin Tian, Chutong Yang

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

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lenient 3/5
medium 3/10
strict 2/5
86%Must read
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Query Lower Bounds for Diffusion Sampling

Diffusion sampling requires $\tilde\Omega(\sqrt{d})$ adaptive score queries for $d$-dimensional distributions with polynomial accuracy, proving multiscale schedules are necessary.

Zhiyang Xun, Eric Price

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 4/5
72%Highly rated
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A Statistical Theory of Gated Attention through the Lens of Hierarchical Mixture of Experts

Gated attention represents attention matrices as hierarchical mixtures of experts and achieves polynomial sample complexity versus exponential for multi-head self-attention.

Viet Nguyen, Thinh Cao, Tuan M Pham, Tan Dinh and 3 more

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

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lenient 2/5
medium 4/10
strict 2/5
76%Highly rated
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Iterative Chow Filtering for Learning with Distribution Shift

Iterative Chow filtering enables efficient PQ learning via L1 sandwiching approximations, yielding quasipolynomial DNF algorithms and exponential improvements for circuits and polynomial thresholds.

Gautam Chandrasekaran, Georgios Gkrinias, Adam Klivans, Konstantinos Stavropoulos and 1 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 3/5
78%Highly rated
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Interleaved Head Attention

Interleaved Head Attention mixes attention heads via pseudo-heads to enable cross-head reasoning, cutting parameters on synthetic tasks and improving retrieval and math benchmarks over standard multi-head attention.

Sai Surya Duvvuri, Chanakya Ekbote, Rachit Bansal, Rishabh Tiwari and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
80%Must read
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CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization

CoreQ proposes a learning-free post-training quantization framework using a geometric closed-form layer-adaptive mismatch correction coefficient and successive rounding to improve LLM quantization accuracy without hyperparameter tuning.

Seohyeon Cha, Huancheng Chen, Dongjun Kim, Haoran Zhang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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Precision As You Need: Stochastic Computing Is a Dense Adaptive Quantizer

Stochastic computing acts as a dense adaptive quantizer that adjusts precision via bit-stream length and enables per-row mixed-precision inference without retraining.

Haoran Jin, Kangqi Zhang, Jirong Yang, Barry Lyu and 3 more

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

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Learning Robust Reasoning through Guided Adversarial Self-Play

GASP trains reasoning models via adversarial self-play to detect and repair corrupted reasoning contexts, producing robust reasoners that withstand misleading contexts while improving clean accuracy.

Shuozhe Li, Vaishnav Tadiparthi, Kwonjoon Lee, Nakul Agarwal and 6 more

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

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lenient 4/5
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Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework

A multi-reward RLIF framework combining cluster-voting and self-certainty rewards with GDPO normalization and KL-Cov regularization prevents collapse and matches supervised RLVR performance.

Shourov Joarder, Diganta Sikdar, Ahsan H Akash, Binod Bhattarai and 1 more

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

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ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

ROTATE reformulates ad hoc teamwork as open-ended adversarial training between an agent and teammate generator to probe collaboration deficiencies, substantially improving generalization to unseen partners.

Caroline Wang, Muhammad Arrasy Rahman, Benjamin Nativi, Johnny Liu and 3 more

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

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PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders

PULSE uses sparse autoencoders to identify internal features linked to demonstration utility and improves selection across classification, generation, and reasoning tasks.

Chenduo Hao, Chuanbao Gao, Pinjun Zeng, Jingze Zhu and 3 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
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VESTA: Visual Exploration with Statistical Tool Agents

VESTA equips vision-language models with dynamically growing statistical toolkits for data exploration and model refinement, outperforming baselines on complex domain-specific modeling tasks via reusable diagnostic tools.

William Rudman, Abhishek Divekar, Kanishk Jain, Sebastian Joseph and 5 more

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

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AI panel: 15 of 20 reviewers recommend it
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PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery

PolyTopoBench benchmarks vector polygon generation from remote sensing images, finding existing methods fail on complex multi-ring topologies with holes.

Zeping Liu, Ni Lao, Weiwei Sun, Gil Wolff and 4 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5