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Poster
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Wed 14:00
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Neural Network Architecture Beyond Width and Depth
Shijun Zhang · Zuowei Shen · Haizhao Yang
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Poster
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Tue 14:00
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Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li · Ruizhe Zhang
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Poster
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Thu 14:00
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Approximate Value Equivalence
Christopher Grimm · Andre Barreto · Satinder Singh
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Poster
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Thu 9:00
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Power and limitations of single-qubit native quantum neural networks
Zhan Yu · Hongshun Yao · Mujin Li · Xin Wang
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Poster
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Wed 9:00
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On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
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Poster
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Wed 9:00
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A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
Philip Amortila · Nan Jiang · Dhruv Madeka · Dean Foster
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Poster
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Tue 14:00
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Confident Approximate Policy Iteration for Efficient Local Planning in -realizable MDPs
Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
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Workshop
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Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
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Poster
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Wed 14:00
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Understanding Deep Neural Function Approximation in Reinforcement Learning via -Greedy Exploration
Fanghui Liu · Luca Viano · Volkan Cevher
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Poster
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Thu 9:00
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A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Weichao Mao · Haoran Qiu · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Ravishankar Iyer · Tamer Basar
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Poster
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Tue 9:00
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Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Junsheng Zhou · Baorui Ma · Yu-Shen Liu · Yi Fang · Zhizhong Han
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Workshop
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Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies
Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon
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