Panels
Panel 1C-1: Learning Neural Set… & Holomorphic Equilibrium Propagation…
Yatao Bian · Axel Laborieux
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Panel 1C-2: Reconstructing Training Data… & On Optimal Learning…
Idan Mehalel · Gal Vardi
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Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Daniel Vial · Clémence Réda
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Panel 1B-1: Online Minimax Multiobjective… & Minimax-Optimal Multi-Agent RL…
Georgy Noarov · Gen Li
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Panel 1C-3: Towards Understanding Grokking:… & Approximation with CNNs…
GUOHAO SHEN · Ziming Liu
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Panel 1B-2: Multi-Game Decision Transformers… & A Continuous Time…
Kuang-Huei Lee · Andrew Campbell
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Panel 1A-2: Posterior Collapse of… & Understanding and Extending…
Liu Ziyin · Fabrizio Frasca
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Panel 1C-4: Fast Bayesian Coresets… & Not too little,…
Cian Naik · Nicolas Keriven
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Panel 1C-5: Privacy of Noisy… & Near-Optimal Private and…
Kunal Talwar · Shyam Narayanan
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Panel 1B-3: Shield Decentralization for… & DHRL: A Graph-Based…
Daniel Melcer · Seungjae Lee
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Panel 1A-3: A gradient sampling… & Local Bayesian optimization…
Quan Nguyen · Swati Padmanabhan
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Panel 1C-6: Debiased Self-Training for… & Universal Rates for…
Baixu Chen · Grigoris Velegkas
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Panel 1C-7: Beyond Adult and… & Uncalibrated Models Can…
Flavio Calmon · Kailas Vodrahalli
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Panel 1C-8: Local Spatiotemporal Representation… & Learning Latent Seasonal-Trend…
Mengwei Ren · Zhiyuan Wang
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Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Omar Montasser · Aravind Gollakota
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Panel 1B-4: Video PreTraining (VPT):… & Energy-Based Contrastive Learning…
Bowen Baker · Beomsu Kim
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Panel 2C-1: High-dimensional limit theorems… & Efficient Sampling on…
Reza Gheissari · Xiang Cheng
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Panel 2C-2: Agreement-on-the-line: Predicting the… & A Theory of…
Christina Baek · Han Shao
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Panel 2B-1: Using natural language… & Modeling Human Exploration…
Marcel Binz · Sreejan Kumar
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Panel 2A-1: Molecule Generation by… & Torsional Diffusion for…
Bowen Jing · Xiangzhe Kong
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Panel 2C-3: A permutation-free kernel… & Maximum Class Separation…
Shubhanshu Shekhar · Tejaswi Kasarla
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Panel 2B-2: One Positive Label… & Calibrated Data-Dependent Constraints…
Ning Xu · Songkai Xue
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Panel 2A-2: VaiPhy: a Variational… & Non-identifiability and the…
Eli Weinstein · Oskar Kviman
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Panel 2C-4: UViM: A Unified… & K-LITE: Learning Transferable…
Chunyuan Li · André Susano Pinto
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Panel 2C-5: TVLT: Textless Vision-Language… & Quality Not Quantity:…
Thao Nguyen · Zineng Tang
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Panel 2A-3: DPM-Solver: A Fast… & Asymptotic Behaviors of…
Cheng Lu · Jiadong Liang
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Panel 2B-3: Data Distributional Properties… & What Can Transformers…
Dimitris Tsipras · Stephanie Chan
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Panel 2C-6: Compositional Generalization in… & Confident Adaptive Language…
Zhenlin Xu · Tal Schuster
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Panel 2C-7: Optimal Rates for… & Reconstruction on Trees…
Frederic Koehler · Zhu Li
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Panel 2A-4: Uncoupled Learning Dynamics… & Finite-Time Last-Iterate Convergence…
Ioannis Anagnostides · Yang Cai
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Panel 2C-8: The Minority Matters:… & Motion Transformer with…
Shilong Bao · Shaoshuai Shi
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Panel 2B-4: Extreme Compression for… & Exploring Length Generalization…
Minjia Zhang · Cem Anil
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Panel 3C-1: The Franz-Parisi Criterion… & List-Decodable Sparse Mean…
Afonso S Bandeira · Sushrut Karmalkar
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Panel 3A-1: Double Bubble, Toil… & Label Noise in…
Chengyu Dong · Andrew Cullen
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Panel 3C-2: Rethinking Knowledge Graph… & Faster Linear Algebra…
Sandeep Silwal · Haotong Yang
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Panel 3B-1: Censored Quantile Regression… & Deconfounded Representation Similarity…
Tianyu Cui · Tim Pearce
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Panel 3C-3: PyramidCLIP: Hierarchical Feature… & Flamingo: a Visual…
Jeff Donahue · Yuting Gao
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Panel 3C-4: Whitening Convergence Rate… & Structural Analysis of…
Siddharth Prasad · Felix Draxler
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Panel 3A-2: Linear tree shap… & Exploring the Whole…
peng yu · Cynthia Rudin
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Panel 3B-2: Exponential Separations in… & The Neural Covariance…
Mihai Nica · Aaron Zweig
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Panel 3C-5: Biologically-Plausible Determinant Maximization… & What's the Harm? ...
Bariscan Bozkurt · Nathan Kallus
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Panel 3C-6: LAION-5B: An open… & The BigScience ROOTS…
Christoph Schuhmann · Hugo Laurençon
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Panel 3B-3: A Multi-Resolution Framework… & Staircase Attention for…
Fabian Falck · Da JU
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Panel 3A-3: Dynamic Inverse Reinforcement… & Single-phase deep learning…
Will Greedy · Zoe Ashwood
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Panel 3C-7: MineDojo: Building Open-Ended… & Avalon: A Benchmark…
Joshua Albrecht · Linxi Fan
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Panel 3A-4: Reproducibility in Optimization:… & A framework for…
Mathieu Dagréou · Kwangjun Ahn
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Panel 3C-8: AMOS: A Large-Scale… & Breaking Bad: A…
Yuanfeng Ji · Silvia Sellán
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Panel 3B-4: Learning and Covering… & Asymptotics of smoothed…
Jonathan Niles-Weed · Konstantinos Stavropoulos
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Panel 4C-1: How Would The… & SCAMPS: Synthetics for…
Mantas Mazeika · Daniel McDuff
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Panel 4B-1: Convolutional Neural Networks… & Uncovering the Structural…
Ruijia Wang · Mingguo He
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Panel 4C-2: Change Event Dataset… & JAHS-Bench-201: A Foundation…
Utkarsh Mall · Archit Bansal
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Panel 4A-1: Rethinking Lipschitz Neural… & Robust Learning against…
Bohang Zhang · Yizhen Wang
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Panel 4C-3: Wukong: A 100… & Addressing Resource Scarcity…
Gokul NC · Jiaxi Gu
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Panel 4A-2: Adaptively Exploiting d-Separators… & On the Complexity…
Ayush Sekhari · Blair Bilodeau
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Panel 4C-4: WinoGAViL: Gamified Association… & Communicating Natural Programs…
Sam Acquaviva · Yonatan Bitton
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Panel 4B-2: Decentralized Training of… & Sharper Convergence Guarantees…
Anastasiia Koloskova · Tianyi Zhang
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Panel 4C-5: Pile of Law:… & Multi-LexSum: Real-world Summaries…
Peter Henderson · Zejiang Shen
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Panel 4B-3: Efficient Methods for… & Understanding Deep Contrastive…
Peng Zhao · Yuandong Tian
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Panel 4A-3: QUARK: Controllable Text… & Diffusion-LM Improves Controllable…
Ximing Lu · Xiang Li
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Panel 4A-4: Giving Feedback on… & Computationally Efficient Horizon-Free…
Evan Liu · Dongruo Zhou
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Panel 4B-4: Rapidly Mixing Multiple-try… & On-Demand Sampling: Learning…
Eric Zhao · Changwoo Lee
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Panel 5A-1: Precise Regret Bounds… & Bayesian inference via…
Changlong Wu · Naitong Chen
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Panel 5B-1: Convergence for score-based… & Learning (Very) Simple…
Yixin Tan · Sitan Chen
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Panel 5A-2: Causal Identification under… & Markovian Interference in…
Amin Jaber · Andrew Zheng
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Panel 5B-2: Training and Inference… & Elucidating the Design…
Tero Karras · Andy Shih
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Panel 5A-3: Active Surrogate Estimators:… & DaDA: Distortion-aware Domain…
Sujin Jang · Jannik Kossen
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Panel 5B-3: Leveraging Factored Action… & Skills Regularized Task…
Shengpu Tang · Minjong Yoo
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Panel 5B-4: Predictive Querying for… & On the difficulty…
Jonas Mikhaeil · Alex Boyd
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Panel 5A-4: Uni[MASK]: Unified Inference… & Model-Based Offline Reinforcement…
Micah Carroll · Kaiyang Guo
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Panel 6B-1: Moment Distributionally Robust… & Public Wisdom Matters!…
Karish Grover · Yeshu Li
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Panel 6A-1: Exploring Example Influence… & Training Spiking Neural…
Qing Sun · Qu Yang
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Panel 6A-2: Characterizing the Ventral… & Efficient coding, channel…
Na Young Jun · Meenakshi Khosla
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Panel 6B-2: Depth is More… & Benign Overfitting in…
Shen-Huan Lyu · Yuan Cao
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Panel 6B-3: Exponential Family Model-Based… & Deep Generalized Schrödinger…
Gene Li · Guan-Horng Liu
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Panel 6A-3: Untargeted Backdoor Watermark:… & Handcrafted Backdoors in…
Sanghyun Hong · Yiming Li
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