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47 Results
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Poster
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Mon 17:00 |
Partitioned Learned Bloom Filters Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska |
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Poster
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Thu 9:00 |
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds Bogdan Georgiev · Lukas Franken · Mayukh Mukherjee |
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Poster
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Tue 9:00 |
Auction Learning as a Two-Player Game Jad Rahme · Samy Jelassi · S. M Weinberg |
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Poster
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Tue 1:00 |
Large-width functional asymptotics for deep Gaussian neural networks Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti |
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Poster
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Tue 17:00 |
A Temporal Kernel Approach for Deep Learning with Continuous-time Information Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan |
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Poster
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Tue 17:00 |
Monotonic Kronecker-Factored Lattice William Bakst · Nobuyuki Morioka · Erez Louidor |
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Poster
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Wed 9:00 |
Theoretical bounds on estimation error for meta-learning James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel |
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Poster
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Thu 1:00 |
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Zeke Xie · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 9:00 |
For self-supervised learning, Rationality implies generalization, provably Yamini Bansal · Gal Kaplun · Boaz Barak |
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Poster
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Thu 17:00 |
A Learning Theoretic Perspective on Local Explainability Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar |
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Poster
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Tue 9:00 |
Iterative Empirical Game Solving via Single Policy Best Response Max Smith · Thomas Anthony · Michael Wellman |
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Poster
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Wed 17:00 |
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL Xiaoyu Chen · Jiachen Hu · Lihong Li · Liwei Wang |