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Poster
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Thu 9:00
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A Boosting Approach to Reinforcement Learning
Nataly Brukhim · Elad Hazan · Karan Singh
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Poster
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Tue 9:00
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Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
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Poster
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Thu 14:00
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Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
Liyu Chen · Haipeng Luo
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Workshop
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The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
Fadhel Ayed · Soufiane Hayou
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Workshop
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Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods
Vishwak Srinivasan · Ashia Wilson
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Poster
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Wed 14:00
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Reinforcement Learning with Non-Exponential Discounting
Matthias Schultheis · Constantin Rothkopf · Heinz Koeppl
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Poster
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Wed 9:00
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Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh
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Workshop
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Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods
Vishwak Srinivasan · Ashia Wilson
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Poster
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Wed 14:00
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Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
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Poster
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Learning Optimal Flows for Non-Equilibrium Importance Sampling
Yu Cao · Eric Vanden-Eijnden
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Poster
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Wed 14:00
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Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt · Viktor Bengs · Björn Haddenhorst · Eyke Hüllermeier
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Workshop
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Fast Implicit Constrained Optimization of Non-decomposable Objectives for Deep Networks
Yatong Chen · Abhishek Kumar · Yang Liu · Ehsan Amid
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