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      Best Arm Identification for Stochastic Rising Bandits

      February 15, 2023

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      Computer Science
      Machine Learning
      Stochastic Rising Bandits (SRBs) model sequential decision-making problems in which the expected reward of the available options increases every time they are selected. This setting captures a wide range of scenarios in which the available ...

      ReDas: A Lightweight Architecture for Supporting Fine-Grained Reshaping and Multiple Dataflows on Systolic Array

      February 15, 2023

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      Computer Science
      Hardware Architecture
      The systolic accelerator is one of the premier architectural choices for DNN acceleration. However, the conventional systolic architecture suffers from low PE utilization due to the mismatch between the fixed array and diverse DNN workloads...

      Macaulay's theorem for vector-spread algebras

      February 15, 2023

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      Mathematics
      Commutative Algebra
      Let S=K[x1,…,xn]S=K[x_1,\dots,x_n]S=K[x1​,…,xn​] be the standard graded polynomial ring, with KKK a field, and let t=(t1,…,td−1)∈Z≥0d−1{\bf t}=(t_1,\ldots,t_{d-1})\in{\mathbb{Z}}_{\ge 0}^{d-1}t=(t1​,…,td−1​)∈Z≥0d−1​, d≥2d\ge 2d≥2, be a (d−1)(d-1)(d−1)-tuple whose entries are non negative integers. To a t{\bf t}t-spr...

      Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment

      February 15, 2023

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      Computer Science
      Machine Learning
      Artificial Intelligence
      Social and Information Networks
      Temporal graph learning aims to generate high-quality representations for graph-based tasks with dynamic information, which has recently garnered increasing attention. In contrast to static graphs, temporal graphs are typically organized as...

      Learning Performance-Improving Code Edits

      February 15, 2023

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      Computer Science
      Software Engineering
      Artificial Intelligence
      Machine Learning
      Performance
      With the decline of Moore's law, optimizing program performance has become a major focus of software research. However, high-level optimizations such as API and algorithm changes remain elusive due to the difficulty of understanding the sem...

      Lipschitz-volume rigidity of Lipschitz manifolds among integral currents

      February 15, 2023

      Mathematics
      Differential Geometry
      Metric Geometry
      We give sufficient conditions such that a volume preserving 1-Lipschitz map from a metric integral current onto an infinitesimally Euclidean Lipschitz manifold is an isometry....

      Efficient Computational method using random matrices describing critical thermodynamics

      February 15, 2023

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      Physics
      Statistical Mechanics
      Our research highlights the effectiveness of utilizing matrices akin to Wishart matrices, derived from magnetization time series data under specific dynamics, to elucidate phase transitions and critical phenomena in the Q-state Potts model....

      Local Causal Discovery for Estimating Causal Effects

      February 15, 2023

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      Computer Science
      Statistics
      Machine Learning
      Methodology
      Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) identifying the graph up to a Markov equivalence class; and (...

      Versatile User Identification in Extended Reality using Pretrained Similarity-Learning

      February 15, 2023

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      Computer Science
      Human-Computer Interaction
      Machine Learning
      Different approaches in machine learning have proven useful for user verification and identification based on motion data in eXtended Reality (XR). However, their real-world application still faces significant challenges concerning versatil...

      Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities

      February 15, 2023

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      Mathematics
      Computer Science
      Statistics
      Optimization and Control
      Distributed, Parallel, and Cluster Computing
      Computer Science and Game Theory
      Machine Learning
      Machine Learning
      Variational inequalities are a broad and flexible class of problems that includes minimization, saddle point, and fixed point problems as special cases. Therefore, variational inequalities are used in various applications ranging from equil...
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