Search Results for author: Tianyu Wang

Found 27 papers, 8 papers with code

Batched Lipschitz Bandits

no code implementations ICLR 2022 (in review) Yasong Feng, Zengfeng Huang, Tianyu Wang

In this paper, we study the batched Lipschitz bandit problem, where the expected reward is Lipschitz and the reward observations are collected in batches.

Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction

no code implementations ICCV 2021 Xiao Tang, Tianyu Wang, Chi-Wing Fu

3D hand-mesh reconstruction from RGB images facilitates many applications, including augmented reality (AR).

From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds

no code implementations17 Aug 2021 Tianyu Wang, Yifeng Huang, Didong Li

Over a complete Riemannian manifold of finite dimension, Greene and Wu introduced a convolution, known as Greene-Wu (GW) convolution.

Distributionally Robust Prescriptive Analytics with Wasserstein Distance

no code implementations10 Jun 2021 Tianyu Wang, Ningyuan Chen, Chun Wang

In prescriptive analytics, the decision-maker observes historical samples of $(X, Y)$, where $Y$ is the uncertain problem parameter and $X$ is the concurrent covariate, without knowing the joint distribution.

Portfolio Optimization

Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks

no code implementations10 Jun 2021 Tianyu Wang, Miaomiao Liu, Kee Siong Ng

In particular, we propose a framework, SPAIR3D, to model a point cloud as a spatial mixture model and jointly learn the multiple-object representation and segmentation in 3D via Variational Autoencoders (VAE).

Semantic Segmentation

An optical neural network using less than 1 photon per multiplication

2 code implementations27 Apr 2021 Tianyu Wang, Shi-Yuan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian Richard, Peter L. McMahon

Here, we experimentally demonstrate an optical neural network achieving 99% accuracy on handwritten-digit classification using ~3. 2 detected photons per weight multiplication and ~90% accuracy using ~0. 64 photons (~$2. 4 \times 10^{-19}$ J of optical energy) per weight multiplication.

Conceptual similarity and communicative need shape colexification: an experimental study

1 code implementation19 Mar 2021 Andres Karjus, Richard A. Blythe, Simon Kirby, Tianyu Wang, Kenny Smith

Colexification refers to the phenomenon of multiple meanings sharing one word in a language.

Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata

no code implementations10 Mar 2021 Tianyu Wang, Nikolay Atanasov

We employ a spectral learning approach to extract a weighted finite automaton (WFA), approximating the unknown logic structure of the task.

Temporal Logic

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning

no code implementations1 Jan 2021 Tianyu Wang, Vikas Dhiman, Nikolay Atanasov

The objective is to infer a cost function that explains demonstrated behavior while relying only on the expert's observations and state-control trajectory.

Autonomous Driving Autonomous Navigation +1

Episodic Linear Quadratic Regulators with Low-rank Transitions

no code implementations3 Nov 2020 Tianyu Wang, Lin F. Yang

Consequently, the sample complexity of our algorithm only depends on the rank, $m$, rather than the ambient dimension, $d$, which can be orders-of-magnitude larger.

Towards Fundamental Limits of Multi-armed Bandits with Random Walk Feedback

no code implementations3 Nov 2020 Tianyu Wang, Lin F. Yang, Zizhuo Wang

In the adversarial setting, we show that an extension of the exponential weight algorithm can achieve a regret bound of order $\widetilde{\mathcal{O}} \left( \sqrt{ \kappa T}\right) $, where $\kappa$ is a constant that depends on the structure of the graph, instead of the number of arms.

Multi-Armed Bandits Recommendation Systems

Bandits for BMO Functions

no code implementations ICML 2020 Tianyu Wang, Cynthia Rudin

We study the bandit problem where the underlying expected reward is a Bounded Mean Oscillation (BMO) function.

Adaptive Discretization for Model-Based Reinforcement Learning

1 code implementation NeurIPS 2020 Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

We introduce the technique of adaptive discretization to design an efficient model-based episodic reinforcement learning algorithm in large (potentially continuous) state-action spaces.

Model-based Reinforcement Learning

Learning Navigation Costs from Demonstration with Semantic Observations

no code implementations9 Jun 2020 Tianyu Wang, Vikas Dhiman, Nikolay Atanasov

The objective is to infer a cost function that explains demonstrated behavior while relying only on the expert's observations and state-control trajectory.

Autonomous Driving Motion Planning +1

Learning Navigation Costs from Demonstration in Partially Observable Environments

no code implementations26 Feb 2020 Tianyu Wang, Vikas Dhiman, Nikolay Atanasov

This paper focuses on inverse reinforcement learning (IRL) to enable safe and efficient autonomous navigation in unknown partially observable environments.

Autonomous Navigation Motion Planning +1

Instance Shadow Detection

2 code implementations CVPR 2020 Tianyu Wang, Xiao-Wei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu

Then, we pair up the predicted shadow and object instances, and match them with the predicted shadow-object associations to generate the final results.

Instance Shadow Detection Shadow Detection

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

no code implementations16 Nov 2019 Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng

Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world.

Shadow Detection

Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

no code implementations23 Oct 2019 Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari

The approach combines an offline-trained fully-connected neural network with an online primal active set solver.

Transfer Learning for Hate Speech Detection in Social Media

no code implementations10 Jun 2019 Marian-Andrei Rizoiu, Tianyu Wang, Gabriela Ferraro, Hanna Suominen

Models based on machine learning and natural language processing provide a way to detect this hate speech in web text in order to make discussion forums and other media and platforms safer.

Social and Information Networks Computers and Society

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

2 code implementations CVPR 2019 Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau

Second, to better cover the stochastic distribution of real rain streaks, we propose a novel SPatial Attentive Network (SPANet) to remove rain streaks in a local-to-global manner.

Single Image Deraining

SAC-Net: Spatial Attenuation Context for Salient Object Detection

no code implementations25 Mar 2019 Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Tianyu Wang, Pheng-Ann Heng

This paper presents a new deep neural network design for salient object detection by maximizing the integration of local and global image context within, around, and beyond the salient objects.

RGB Salient Object Detection Salient Object Detection

Towards Practical Lipschitz Bandits

no code implementations26 Jan 2019 Tianyu Wang, Weicheng Ye, Dawei Geng, Cynthia Rudin

Stochastic Lipschitz bandit algorithms balance exploration and exploitation, and have been used for a variety of important task domains.

Gaussian Processes

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference

no code implementations19 Jul 2017 Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

In this work, we propose a method that computes high quality almost-exact matches for high-dimensional categorical datasets.

Causal Inference

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