| Nikola | Pigeon | Marie | Pierre | ||
| Coding and Sensing (INV) | Mario Diaz Memorial 1 (INV) | Machine Learning | Wireless Communications | ||
| 10:40 AM | Subspace Coding for Spatial Sensing Robin Rajamäki | Remembering Mario
| Universality of kernel random matrices and kernel regression in the quadratic regime Zhichao Wang | Active Beam Learning for Full-Duplex Wireless Systems Ian Roberts | |
| 11:00 AM | From Quantum Sensing to Classical Weight Enumerators Narayanan Rengaswamy | Can we catch two birds of privacy and fairness? Haewon Jeong | Shallow diffusion networks provably learn hidden low-dimensional structure Stephen Tu | Quantization for optimal UAV Network Deployment Hamid Jafarkhani | |
| 11:20 AM | Joint Communication and Sensing beyond i.i.d. and Static Models Matthieu Bloch | Towards Optimal Privacy Mechanisms Under Estimated Sensitivity James Melbourne | Sparse recovery of binary vectors Neha Sangwan | On pulse shaping filters and I/O relation estimation & equalization in Zak-OTFS Ananthanarayanan Chockalingam | |
| 11:40 AM | Equivalence Principles for Nonlinear Random Matrices in High-Dimensional Estimation and Learning Yue Lu | Auditing Privacy of Additive Noise Mechanisms Using Linear Predictive Models Lalitha Sankar | Perceptual adjustment queries:Learning from slider data Jingyan Wang | ||
| AI for Autonomous Robot Systems (INV) | Coding Theory | Mario Diaz Memorial 2 (INV) | Online Algorithms and Security | ||
| 2:00 PM | Building Robust Intelligence: A Continuous Domain Adaptation Strategy Salimeh Sekeh | Undetected Error Probability in the Short Blocklength Regime: Codes and (New) Bounds Gianluigi Liva | Peter Kairouz | Linear Elastic Caching via Ski Rental Manish Purohit | |
| 2:20 PM | Model-Free, Position-Free Acoustic Signal Source Seeking in Cluttered Environments Zahra Nili Ahmadabadi | Fair-Density Parity-Check Codes Hessam Mahdavifar | Shahab Asoodeh | Online bookmaking Oron Sabag | |
| 2:40 PM | Foundation Model to Intelligence Embodiment Xueyan Zou | Using Linearity to Lower List Decoder Complexity Rick Wesel | Anand Sarwate | Realizable Mis-specified Universal Learning Meir Feder | |
| 3:00 PM | Active initialization for Gaussian splatting Konstantinos Polyzos | Uncorrelated optimal ZCZ sequences always come from Popovic construction Hong-Yeop Song | Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions Oliver Kosut | Queueing the Threats: A New Lens on Attack Surface Dynamics Emre Koksal | |
| LLMs | Error Correcting Codes | Privacy and Secret Sharing | |||
| 3:40 PM | Transformers Learn Causal structure Jason Lee | Error correction in interference-limited wireless systems Charles Wiame | Optimal Computational Secret Sharing Rafael D'Oliveira | ||
| 4:00 PM | AI-Written or Human-Edited? Detecting Text Edits with Higher Criticism and Information Theory Alon Kipnis | High-Rate Spatially Coupled LDPC Codes Derived From Convolutional Self-Orthogonal Codes Daniel Costello | Differentially Private Distributed Inference Amin Rahimian | ||
| 4:20 PM | Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He | Laplacian-ORBGRAND: Decoding for Impulsive Noise Jiewei Feng | An Extension of the Adversarial Threat Model in Quantitative Information Flow Parastoo Sadeghi | ||
| 4:40 PM | Sufficient Context: A New Lens on Retrieval Augmented Generation Systems Cyrus Rashtchian | Mixed-Integer ADMM Decoding for LDPC codes Stark Draper | Compression of Differentially Private Mechanisms via Channel Simulation Cheuk Ting Li |
| Nikola | Pigeon | Marie | Pierre | ||
| Sequential and Reinforcement Learning | Quantum Computing and IT | Quantum Error Correction (INV) | |||
| 10:40 AM | Sequential Hypothesis Testing via No-Regret Learning Jun-Kun Wang | Information-theoretic adversarial communication: preventing disinformation from becoming misinformation Jody O'Sullivan | Design of Finite-Length Lifted Product Quantum LDPC Codes Bane Vasic | ||
| 11:00 AM | Optimal Multi-Objective Best Arm Identification with Fixed Confidence Vincent Tan | Information Velocity of Cascaded Gaussian Channels with Feedback Yuval Kochman | Reed-Muller Codes on Classical-Quantum Channels and the Holevo Capacity Henry Pfister | ||
| 11:20 AM | DOPL: Direct Online Preference Learning for Restless Multi-Armed Bandits with Preference Feedback Jian Li | On the Capacity of Linear Computations over Quantum Many to One Networks Syed Jafar | Cluster Decomposition for Improved Erasure Decoding of Quantum LDPC Codes Hanwen Yao | ||
| 11:40 AM | Achieving Safe and Robust Policy Improvement in Offline safe Reinforcement Learning Honghao Wei | Pauli measurements are not optimal for single-copy tomography Yuhan Liu | Low Latency Decoding for Quantum LDPC Codes Nithin Raveendran | ||
| Statistics | Wireless Communications 1 | Polar Codes | |||
| 2:00 PM | On Estimation of ROC curves from Likelihood Ratio Observations Bruce Hajek | Advanced Receivers for 5G and 6G Dongwoon Bai | In Search Of the Best Dimension 128 Lattice: Construction A Brian Kurkoski | ||
| 2:20 PM | Sharp trajectory predictions for iterative nonconvex optimization with random data Kabir Verchand | User Scheduling Optimization with Enhanced Time Division Duplex Slot Allocation in Non-Terrestrial Networks Michele Zorzi | Data-driven approach for capacity estimation and polar codes Haim Permuter | ||
| 2:40 PM | Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Yizhe Zhu | CrossMPT: Cross-Attention Message-Passing Transformer for Error Correcting Codes Yongjune Kim | Neural Polar Decoders for Deletion Channels Ziv Aharoni | ||
| 3:00 PM | A sliced Wasserstein and diffusion approach to random coefficient models Fang Han | DEFINED: A Transformer-based Signal Detector over Fading Channels Cong Shen | |||
| Statistical Learning | Wireless Communications 2 | Coding Applications | |||
| 3:40 PM | Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection Martin Haardt | Integrated Communication and Sensing Systems in High Mobility Environments Athina Petropulu | Capacity Approximations for Insertion Channels with Small Insertion Probabilities Busra Tegin | ||
| 4:00 PM | Statistical curriculum learning: An elimination algorithm achieving an oracle risk Nir Weinberger | Uberize Wireless Multiple Access Control Wei Wang | Short Blocklength Codes for Correcting Random Edit Errors in DNA Storage Serge Kas Hanna | ||
| 4:20 PM | Simple binary hypothesis testing: One-shot Bayes error bounds and reverse data-processing inequalities Varun Jog | The Pulse-Shaping Trojan: A New Security Threat in Wireless Communication Aria Nosratinia | Analog Error-Correcting Codes for AI Computing Anxiao Jiang | ||
| 4:40 PM | A Theoretical Framework for Transfer Learning via High-Dimensional Statistical Analysis Shao-Lun Huang | Realizing Full-Duplex Wireless Systems through Beamforming Ian Roberts | Learning to Decode GLDPC Codes: Policy Evaluation and Q-learning David Mitchell |
| Nikola | Pigeon | Marie | Pierre | ||
| Privacy | ML Theory | ML Applications | |||
| 9:00 AM | Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Sajani Vithana | Exploration-exploitation trade-off in sequential lossy compression Ram Zamir | ML on high-dimensional data for personalized clinician-in-loop care David Scheinker | ||
| 9:20 AM | Tradeoffs in data memorization: Learn more to remember less Vitaly Feldman | Re-examing double descent and scaling law under norm-based capacity Fanghui Liu | How do neural networks learn features from data? Adityanarayanan Radhakrishnan | ||
| 9:40 AM | On the Dichotomy Between Privacy and Traceability in Stochastic Convex Optimization Mahdi Haghifam | Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes Yu-Xiang Wang | |||
| 10:00 AM | Differentially private estimation via first- and second-order optimization Po-Ling Loh | ||||
| Graduation Day Talks 1 | Graduation Day Talks 2 | Graduation Day Talks 3 | |||
| 10:40 AM | Optimized Couplings for Watermarking Large Language Models Dor Tsur | Data-Driven Causal Discovery with Asymmetric Error Control Joni Shaska | Learning the Structure of Networked Systems that Obey Conservation Laws Anirudh Rayas | ||
| 11:00 AM | Understanding Language Models: Optimization, Architecture and Emergent Abilities Yingcong Li | Active sampling for Markov hypothesis testing Greg Fields | Non-rational infinite-horizon control: a unified framework for (distributionally) robust control and beyond Taylan Kargin | ||
| 11:20 AM | Early Directional Convergence in Homogeneous Neural Networks Akshay Kumar | Identifying Causal Effects Under Functional Dependencies Yizuo Chen | Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning Yi Hu | ||
| 11:40 AM | Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data Kishan Panaganti | Optimal Transport and Robust Statistics Sloan Nietert | Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah | ||
| Nikola | Pigeon | Marie | Pierre | ||
| AI Institutes 1 (INV) | Interpretability and Safety | Reinforcement and Distributed Learning | Control | ||
| 10:40 AM | Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Farinaz Koushanfar | Enhancing Hallucination Detection through Noise Injection Litian Liu | Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Chong Liu | Minimum Data-Rate for Emulating a Linear System Girish Nair | |
| 11:00 AM | Toward optimal neural compressors for the rate distortion perception tradeoff Shirin Saeedi Bidokhti | Scaling Explainability: Fast Algorithms to Decode Ever-Growing ML Models Amirali Aghazadeh | The Sample-Communication Complexity Trade-off in Federated Q-Learning Sudeep Salgia | Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees Yingying Li | |
| 11:20 AM | Federated Optimization for Multi-task Learning Gauri Joshi | Model reconstruction using counterfactual explanations: A perspective from polytope theory Sanghamitra Dutta | Communication Compression for Distributed Learning without Control Variates Tomas Ortega | Protect or prevent: Optimal vaccine priorities for infectious diseases Saswati Sarkar | |
| 11:40 AM | Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning Jia (Kevin) Liu | Implicit Geometry of Semantics in Next-Token Prediction Models Christos Thrampoulidis | |||
| AI Institutes 2 (INV) | Learning and Statistics | Reinforcement Learning | Game Theory | ||
| 2:00 PM | Theory on Vision Transformers in Self-Supervised Learning Yingbin Liang | Expectations in Expectation Propagation Dirk Slock | Generative Multi-Agent Q-Learning for Policy Optimization: Decentralized Wireless Networks Urbashi Mitra | Beyond worst-case equilibria in games Philip Brown | |
| 2:20 PM | Incentive Mechanisms with Sequential Voluntary Participation Mingyan Liu | Frequentist Guarantees of Distributed (Non)-Bayesian Inference Bohan Wu | Lifelong Linear Bandits via Representation Transfer: Is Task Diversity Essential? Zhi Wang | Virtual Democracy: Automating Ethical Decision-Making Anson Kahng | |
| 2:40 PM | Estimation via Stochastic Mirror Descent Tara Javidi | PAC Learning is just Bipartite Matching (sort of) Shaddin Dughmi | Structured Reinforcement Learning for Wireless Networks Archana Bura | Some emerging issues in spectrum sharing Randall Berry | |
| 3:00 PM | Trans-Glasso: A Transfer Learning Approach for Precision Matrix Estimation Mladen Kolar | ||||
| Information Theory and ML | Efficient LLMs and Alignment | Graphs | |||
| 3:40 PM | Generalized Fenchel-Young Divergence Lav Varshney | DeepCrossAttention: Supercharging transformer residual connections Adel Javanmard | Structure Learning in Gaussian Graphical Models from Glauber Dynamics Gautam Dasarathy | ||
| 4:00 PM | Information-theoretic quantification of inherent discrimination bias in training data for supervised learning Mohamed Nafea | Speeding up Speculative Decoding for LLMs via Approximate Verification Ravi Tandon | Competitive networked bivirus SIS spread over hypergraphs Sebin Jose Gracy | ||
| 4:20 PM | Inference Time Alignment of Large Language Models Amrit Singh Bedi | Characterization of Planted Tree Problems via Local Weak Convergence Mehrdad Moharrami | |||
| 4:40 PM | InfAlign: Inference-aware language model alignment Ahmad Beirami | On the Lovasz Function and Shannon Capacity of Regular Graphs Igal Sason |
| Nikola | Pigeon | Marie | Pierre | ||
| Machine Learning and Efficiency | Neural Networks | Privacy | Wireless and Age of Information | ||
| 10:40 AM | Stairway to Specialization: The Path of Scalable Experts Grigorios Chrysos | Weak to Strong Generalization in Random Feature Models Nathan Srebro | Denoising of Differentially Private Optimizers Meisam Razaviyayn | Enhancing mm-Wave and THz Indoor Links with Passive Reflectors and LiDAR-Assisted Adaptive Beamforming Mohammed E Eltayeb | |
| 11:00 AM | Induced Model Matching: Restricted Models Help Train Full-Featured Models Mesrob Ohannessian | Hard-Constrained Neural Networks with Universal Approximation Guarantees Navid Azizan | Privacy for Free in the Over-Parameterized Regime Marco Mondelli | Optimizing Age of Information without Knowing the Age of Information Igor Kadota | |
| 11:20 AM | Weak-to-Strong Generalization Through the Data-Centric Lens Fred Sala | Dependence Induced Representation Learning Xiangxiang Xu | Dimension-free Private Mean Estimation Lydia Zakynthinou | Timely Communications based on Data Significance Yin Sun | |
| 11:40 AM | PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment Ramya Korlakai Vinayak | AttnMod: Attention-based New Art Style Jessy Su | |||
| Machine Learning | Estimation and Clustering | Random Processes and Coding | Startup Stories (INV) | ||
| 2:00 PM | Training Dynamics of Softmax Self-Attention: Global Convergence and Neural Scaling Laws Gautam Goel | Lq Lower Bounds on Distributed Estimation via Fisher Information Ayfer Ozgur | Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality Andre Wibisono | From Bits to Billions: Startups Architecting the Next Wave of AI Infrastructure Cyril Gorlla | |
| 2:20 PM | Recent Advances in Drone Vision Sedat Ozer | 1+o(1) Optimal Mean Estimation Beyond One Dimension Paul Valiant | Entropy Quantification in True Random Number Generators via Gaussian Process Phase Noise Models Maciej Skorski | Startup stories, part 2 Arun Kumar | |
| 2:40 PM | Modular Duality in Deep Learning Jeremy Bernstein | Tight Clusters Make Specialized Experts Tan Nguyen | Can coding reduce fragmentation in deduplicated storage systems? Ilan Shomorony | Startup stories, part 3 Brad Chisum | |
| 3:00 PM | Discovering Data Structures: Nearest Neighbor Search and Beyond Vatsal Sharan | Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption Viveck Cadambe | |||