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Poster
Thu 11:00 Cardinality-Aware Set Prediction and Top-k Classification
Corinna Cortes · Anqi Mao · Christopher Mohri · Mehryar Mohri · Yutao Zhong
Poster
Wed 11:00 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri Fonseca · Caio Peixoto · Yuri Saporito
Poster
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
Chongming Liu · Jingyang Ma · Songting Li · Douglas (Dongzhuo) Zhou
Poster
Fri 11:00 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
Hongyao Tang · Min Zhang · Chen Chen · Jianye Hao
Poster
Wed 16:30 Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
ZHEYI FAN · Wenyu Wang · Szu Hui Ng · Qingpei Hu
Poster
Wed 16:30 Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li · Yifan Wu · Zhaoyu Li · Xinming Wei · Xian Zhang · Fan Yang · Xiaoxing Ma
Poster
Fri 16:30 PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado Telletxea · Luis Antonio Ortega Andrés · Aritz Pérez · Andres Masegosa
Poster
Thu 16:30 Relational Concept Bottleneck Models
Pietro Barbiero · Francesco Giannini · Gabriele Ciravegna · Michelangelo Diligenti · Giuseppe Marra
Poster
Thu 11:00 Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
Shima Adeli · Mojtaba Tefagh · Gourav Jhanwar · Masoud Zarepisheh
Poster
Wed 16:30 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Wed 16:30 Interpretable Concept-Based Memory Reasoning
David Debot · Pietro Barbiero · Francesco Giannini · Gabriele Ciravegna · Michelangelo Diligenti · Giuseppe Marra
Poster
Fri 11:00 Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia · David Broman · Nick Haber · Noah Goodman