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Poster
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Thu 16:30
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On the Power of Decision Trees in Auto-Regressive Language Modeling
Yulu Gan · Tomer Galanti · Tomaso Poggio · Eran Malach
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Workshop
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Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
Jonas Zausinger · Lars Pennig · Kacper Chlodny · Vincent Limbach · Anna Ketteler · Thorben Prein · Vishwa Mohan Singh · Michael Danziger · Jannis Born
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Workshop
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Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
Binxu Wang · Jiaqi Shang · Haim Sompolinsky
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Poster
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Fri 11:00
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The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li · Zhao Song · Yu Xia · Tong Yu · Tianyi Zhou
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Poster
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Thu 16:30
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Adaptive Passive-Aggressive Framework for Online Regression with Side Information
Runhao Shi · Jiaxi Ying · Daniel Palomar
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Poster
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Wed 16:30
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Solving Sparse \& High-Dimensional-Output Regression via Compression
Renyuan Li · Zhehui Chen · Guanyi Wang
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Poster
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Thu 11:00
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Distributed Sparse Regression via Penalization
Yao Ji · Gesualdo Scutari · Ying Sun · Harsha Honnappa
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Poster
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Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Kai Tan · Pierre C Bellec
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Poster
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Thu 16:30
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3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee · Minsu Cho
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Poster
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Fri 11:00
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Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee · Jihwan Kim · Jae-Pil Heo
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Poster
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Wed 11:00
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Symbolic Regression with a Learned Concept Library
Arya Grayeli · Atharva Sehgal · Omar Costilla Reyes · Miles Cranmer · Swarat Chaudhuri
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Poster
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Thu 16:30
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RMLR: Extending Multinomial Logistic Regression into General Geometries
Ziheng Chen · Yue Song · Rui Wang · Xiaojun Wu · Nicu Sebe
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