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Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Topological Detection of Trojaned Neural Networks
Songzhu Zheng · Yikai Zhang · Hubert Wagner · Mayank Goswami · Chao Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot · Murtaza Dalal · Saurabh Gupta · Jitendra Malik · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen · Masha Itkina · Ransalu Senanayake · Mykel J Kochenderfer
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Kaifeng Lyu · Zhiyuan Li · Runzhe Wang · Sanjeev Arora
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Towards Efficient and Effective Adversarial Training
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Venkatesh Babu R
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Jialun Zhang · Salar Fattahi · Richard Y Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Scaling Up Exact Neural Network Compression by ReLU Stability
Thiago Serra · Xin Yu · Abhinav Kumar · Srikumar Ramalingam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni · Jasmina Bogojeska · Andreas Loukas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad · Banghua Zhu · Cong Ma · Jiantao Jiao · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Atsushi Nitanda · Denny Wu · Taiji Suzuki
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin · Arka Sadhu · Junyi Du · Xiang Ren
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
Ruichu Cai · Jinjie Yuan · Boyan Xu · Zhifeng Hao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A nonparametric method for gradual change problems with statistical guarantees
Lizhen Nie · Dan Nicolae
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Matteo Papini · Andrea Tirinzoni · Aldo Pacchiano · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Stochastic Newton Algorithm for Distributed Convex Optimization
Brian Bullins · Kshitij Patel · Ohad Shamir · Nathan Srebro · Blake Woodworth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan · Jie Yan · Chuan Luo · Liting Chen · Qingwei Lin · Dongmei Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong · Chenyu Lian · Detian Huang · zhenjiang li · Yanle Hu · Qichao Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
Yifan Chen · Qi Zeng · Heng Ji · Yun Yang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diverse Message Passing for Attribute with Heterophily
Liang Yang · Mengzhe Li · Liyang Liu · bingxin niu · Chuan Wang · Xiaochun Cao · Yuanfang Guo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Scaling Neural Tangent Kernels via Sketching and Random Features
Amir Zandieh · Insu Han · Haim Avron · Neta Shoham · Chaewon Kim · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably efficient, succinct, and precise explanations
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang · Jeevana Priya Inala · Osbert Bastani · Yewen Pu · Armando Solar-Lezama · Martin Rinard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
When Is Generalizable Reinforcement Learning Tractable?
Dhruv Malik · Yuanzhi Li · Pradeep Ravikumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Multiple Descent: Design Your Own Generalization Curve
Lin Chen · Yifei Min · Mikhail Belkin · Amin Karbasi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer · Nitarshan Rajkumar · Michael Noukhovitch · Ankesh Anand · Laurent Charlin · R Devon Hjelm · Philip Bachman · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld · Kristjan Greenewald
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Yifei Min · Tianhao Wang · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Representation Power of Set Pooling Networks
Christian Bueno · Alan Hylton
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Topological Perspective on Causal Inference
Duligur Ibeling · Thomas Icard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Xuefan Zha · Wentao Zhu · Lv Xun · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei · Sang Michael Xie · Tengyu Ma
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Jiayang Xu · Aniruddhe Pradhan · Karthikeyan Duraisamy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bootstrapping the Error of Oja's Algorithm
Robert Lunde · Purnamrita Sarkar · Rachel Ward
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Probability Paths and the Structure of Predictions over Time
Zhiyuan Jerry Lin · Hao Sheng · Sharad Goel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen · Haoran Sun · Caleb Ellington · Eric Xing · Le Song
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar · Eric Malmi · Aliaksei Severyn · Yulia Tsvetkov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
Yixin Chen · Tonmoy Dey · Alan Kuhnle
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li · Jie Wu · Xuefeng Xiao · Fei Chao · Xudong Mao · Rongrong Ji
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Dae Young Park · Moon-Hyun Cha · changwook jeong · Daesin Kim · Bohyung Han
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Progressive Coordinate Transforms for Monocular 3D Object Detection
Li Wang · Li Zhang · Yi Zhu · Zhi Zhang · Tong He · Mu Li · Xiangyang Xue
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Value of Interaction and Function Approximation in Imitation Learning
Nived Rajaraman · Yanjun Han · Lin Yang · Jingbo Liu · Jiantao Jiao · Kannan Ramchandran
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
Dazhong Shen · Chuan Qin · Chao Wang · Zheng Dong · Hengshu Zhu · Hui Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pseudo-Spherical Contrastive Divergence
Lantao Yu · Jiaming Song · Yang Song · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Change Point Detection via Multivariate Singular Spectrum Analysis
Arwa Alanqary · Abdullah Alomar · Devavrat Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Flexible Option Learning
Martin Klissarov · Doina Precup
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Lifelong Domain Adaptation via Consolidated Internal Distribution
Mohammad Rostami
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun · Ang Li · Louis DiValentin · Amin Hassanzadeh · Yiran Chen · Hai Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Graph Neural Networks with Adaptive Residual
Xiaorui Liu · Jiayuan Ding · Wei Jin · Han Xu · Yao Ma · Zitao Liu · Jiliang Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
Colin Conwell · David Mayo · Andrei Barbu · Michael Buice · George Alvarez · Boris Katz
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan · Hang Gao · Sunil Gandhi · Edward Raff · Tim Oates · James Holt · Mark McLean
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Counterbalancing Learning and Strategic Incentives in Allocation Markets
Jamie Kang · Faidra Monachou · Moran Koren · Itai Ashlagi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello · Javier Turek · Vy Vo · Alexander Huth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui · Miao Yin · Yi Xie · Huy Phan · Saman Aliari Zonouz · Bo Yuan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee · Sae-Young Chung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Shibo Li · Robert Kirby · Shandian Zhe
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Active 3D Shape Reconstruction from Vision and Touch
Edward Smith · David Meger · Luis Pineda · Roberto Calandra · Jitendra Malik · Adriana Romero Soriano · Michal Drozdzal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Corruption Robust Active Learning
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn · Sinho Chewi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Active Learning with Performance Guarantees
Zhilei Wang · Pranjal Awasthi · Christoph Dann · Ayush Sekhari · Claudio Gentile
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal · Marius Arvinte · Giannis Daras · Eric Price · Alex Dimakis · Jon Tamir
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Selective Sampling for Online Best-arm Identification
Romain Camilleri · Zhihan Xiong · Maryam Fazel · Lalit Jain · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Channel Permutations for N:M Sparsity
Jeff Pool · Chong Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
How Modular should Neural Module Networks Be for Systematic Generalization?
Vanessa D'Amario · Tomotake Sasaki · Xavier Boix
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Muchen Li · Leonid Sigal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Optimization of Function Networks
Raul Astudillo · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas · Daniel Kane · Christos Tzamos
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li · Yuxin Chen · Yuejie Chi · Yuantao Gu · Yuting Wei
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao · Qingyan Meng · Zongpeng Zhang · Yisen Wang · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Expected Complexity of Maxout Networks
Hanna Tseran · Guido Montufar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems
Guangmo Tong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma · Kawin Ethayarajh · Tristan Thrush · Somya Jain · Ledell Wu · Robin Jia · Christopher Potts · Adina Williams · Douwe Kiela
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coresets for Classification – Simplified and Strengthened
Tung Mai · Cameron Musco · Anup Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing · Jean Ventura · Guillaume Bellec · Wulfram Gerstner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jinming Cui · Chaochao Chen · Lingjuan Lyu · Carl Yang · Wang Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Extended Hazard Models for Survival Analysis
Qixian Zhong · Jonas Mueller · Jane-Ling Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen · Yu Cheng · Zhe Gan · Jingjing Liu · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler
Aditya Desai · Zhaozhuo Xu · Menal Gupta · Anu Chandran · Antoine Vial-Aussavy · Anshumali Shrivastava
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Optimization for Multilingual Translation with Imbalanced Data
Xian Li · Hongyu Gong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Class-Incremental Learning via Dual Augmentation
Fei Zhu · Zhen Cheng · Xu-yao Zhang · Cheng-lin Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker · Huao Li · Siddharth Agrawal · Dana Hughes · Katia Sycara · Michael Lewis · Julie A Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Stochastic Stability of Deep Markov Models
Jan Drgona · Sayak Mukherjee · Jiaxin Zhang · Frank Liu · Mahantesh Halappanavar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong ZHANG · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
Gabriel Ocker · Michael Buice
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A generative nonparametric Bayesian model for whole genomes
Alan Amin · Eli N Weinstein · Debora Marks
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang · Xiangyuan Zhang · Bin Hu · Tamer Basar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sub-Linear Memory: How to Make Performers SLiM
Valerii Likhosherstov · Krzysztof Choromanski · Jared Quincy Davis · Xingyou Song · Adrian Weller
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Rectangular Flows for Manifold Learning
Anthony Caterini · Gabriel Loaiza-Ganem · Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Dominic Richards · Ilja Kuzborskij
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Bingyan Wang · Yuling Yan · Jianqing Fan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Localization with Sampling-Argmax
Jiefeng Li · Tong Chen · Ruiqi Shi · Yujing Lou · Yong-Lu Li · Cewu Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revenue maximization via machine learning with noisy data
Ellen Vitercik · Tom Yan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang · Jae Hyun Lim · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian Trippe · Hilary Finucane · Tamara Broderick
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park · Anas Awadalla · Tadayoshi Kohno · Shwetak Patel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang · Shaofeng Zou · Yi Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
Aryan Deshwal · Jana Doppa
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim · Jong Chul Ye · Jae-Jin Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · Alexander Nichol
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen · Yu Cheng · Zhe Gan · Lu Yuan · Lei Zhang · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhanqiu Zhang · Jie Wang · Jiajun Chen · Shuiwang Ji · Feng Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient Active Learning for Gaussian Process Classification by Error Reduction
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen · Frederick Liu · Besim Avci · Xi Wu · Yingyu Liang · Somesh Jha
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy · Krishnakumar Balasubramanian · Murat Erdogdu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Max-Min Entropy Framework for Reinforcement Learning
Seungyul Han · Youngchul Sung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
Xiaofeng Fan · Yining Ma · Zhongxiang Dai · Wei Jing · Cheston Tan · Bryan Kian Hsiang Low
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu · Tianyu Ding · Jinxin Zhou · Xiao Li · Chong You · Jeremias Sulam · Qing Qu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari · Guillaume Rabusseau
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Julian Katz-Samuels · Blake Mason · Kevin Jamieson · Rob Nowak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Autobahn: Automorphism-based Graph Neural Nets
Erik Thiede · Wenda Zhou · Risi Kondor
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fine-Grained Zero-Shot Learning with DNA as Side Information
Sarkhan Badirli · Zeynep Akata · George Mohler · Christine Picard · Mehmet M Dundar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang · Kaiyi Ji · Yingbin Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Posterior Collapse and Latent Variable Non-identifiability
Yixin Wang · David Blei · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang · Tianyun Zhang · Sijia Liu · Pin-Yu Chen · Jiacen Xu · Makan Fardad · Bo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Pratik Chaudhari · Alexander Smola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song · Conor Durkan · Iain Murray · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng · Yang Song · Wenzhe Li · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
What Makes Multi-Modal Learning Better than Single (Provably)
Yu Huang · Chenzhuang Du · Zihui Xue · Xuanyao Chen · Hang Zhao · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner · Qiyang Li · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu · Sungsoo Ahn · Le Song · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
Jungwuk Park · Dong-Jun Han · Minseok Choi · Jaekyun Moon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Model Stitching to Compare Neural Representations
Yamini Bansal · Preetum Nakkiran · Boaz Barak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu · Qiming ZHANG · Jing Zhang · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
Sangjoon Park · Gwanghyun Kim · Jeongsol Kim · Boah Kim · Jong Chul Ye
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan · Lan Du · Wray Buntine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu · Kaixuan Huang · Jingzhao Zhang · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
Zhenyu Xie · Zaiyu Huang · Fuwei Zhao · Haoye Dong · Michael Kampffmeyer · Xiaodan Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Second-order Convergence Properties of Random Search Methods
Aurelien Lucchi · Antonio Orvieto · Adamos Solomou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu · Zuobai Zhang · Louis-Pascal Xhonneux · Jian Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang · Song Guo · Xiaosong Ma · Haozhao Wang · Wenchao Xu · Feijie Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
Brandon Jacques · Zoran Tiganj · Marc Howard · Per B Sederberg
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gauge Equivariant Transformer
Lingshen He · Yiming Dong · Yisen Wang · Dacheng Tao · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Effective Scheduling of Model-based Reinforcement Learning
Hang Lai · Jian Shen · Weinan Zhang · Yimin Huang · Xing Zhang · Ruiming Tang · Yong Yu · Zhenguo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen · Takashi Matsubara · Takaharu Yaguchi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Open Rule Induction
Wanyun Cui · Xingran Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
Shuang Ao · Tianyi Zhou · Guodong Long · Qinghua Lu · Liming Zhu · Jing Jiang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu · Zhenghai Xue · Jingcheng Pang · Shengyi Jiang · Feng Xu · Yang Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li · Zhiyang Chen · Fan Yang · Wei Li · Yousong Zhu · Chaoyang Zhao · Rui Deng · Liwei Wu · Rui Zhao · Ming Tang · Jinqiao Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentiable Quality Diversity
Matthew Fontaine · Stefanos Nikolaidis
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Demystifying and Generalizing BinaryConnect
Tim Dockhorn · Yaoliang Yu · Eyyüb Sari · Mahdi Zolnouri · Vahid Partovi Nia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
HRFormer: High-Resolution Vision Transformer for Dense Predict
YUHUI YUAN · Rao Fu · Lang Huang · Weihong Lin · Chao Zhang · Xilin Chen · Jingdong Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Universal Approximation Using Well-Conditioned Normalizing Flows
Holden Lee · Chirag Pabbaraju · Anish Prasad Sevekari · Andrej Risteski
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue · Flora Salim · Yongli Ren · Nuria Oliver
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobILE: Model-Based Imitation Learning From Observation Alone
Rahul Kidambi · Jonathan Chang · Wen Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song · Shuo Yang · Ruizhe Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao · Michael Kim · Roshni Sahoo · Tengyu Ma · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
Alp Yurtsever · Alex Gu · Suvrit Sra
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Ultrahyperbolic Neural Networks
Marc Law
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Manipulating SGD with Data Ordering Attacks
I Shumailov · Zakhar Shumaylov · Dmitry Kazhdan · Yiren Zhao · Nicolas Papernot · Murat Erdogdu · Ross J Anderson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Online Learning in Periodic Zero-Sum Games
Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coupled Gradient Estimators for Discrete Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Sham Kakade
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Convergence Analysis of Gradient Descent on Graph Neural Networks
Pranjal Awasthi · Abhimanyu Das · Sreenivas Gollapudi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
Zichen Miao · Ze Wang · Xiuyuan Cheng · Qiang Qiu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran · Bohdan Kivva · Ming Gao · Bryon Aragam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan · Prasanna Balaprakash
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Communication under Varying Sizes and Connectivities
Jooyeon Kim · Alice Oh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Adaptable Agent Populations via a Generative Model of Policies
Kenneth Derek · Phillip Isola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov · Nikita Zhivotovskiy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continual Learning via Local Module Composition
Oleksiy Ostapenko · Pau Rodriguez · Massimo Caccia · Laurent Charlin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth · Cengiz Pehlevan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Proper Value Equivalence
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Blending Anti-Aliasing into Vision Transformer
Shengju Qian · Hao Shao · Yi Zhu · Mu Li · Jiaya Jia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He · Dingjie Wang · Nicholas Lai · William Zhang · Chenlin Meng · Marshall Burke · David Lobell · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
Amirreza Farnoosh · Sarah Ostadabbas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Soft Calibration Objectives for Neural Networks
Archit Karandikar · Nicholas Cain · Dustin Tran · Balaji Lakshminarayanan · Jonathon Shlens · Michael Mozer · Becca Roelofs
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li · Yi Tian · Jingzhao Zhang · Ali Jadbabaie
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
Jingling Li · Mozhi Zhang · Keyulu Xu · John Dickerson · Jimmy Ba
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning · Changcheng Tang · Wenshuo Li · Zixuan Zhou · Shuang Liang · Huazhong Yang · Yu Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The staircase property: How hierarchical structure can guide deep learning
Emmanuel Abbe · Enric Boix-Adsera · Matthew S Brennan · Guy Bresler · Dheeraj Nagaraj
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Feihu Huang · Xidong Wu · Heng Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Teaching an Active Learner with Contrastive Examples
Chaoqi Wang · Adish Singla · Yuxin Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal prediction of Markov chains with and without spectral gap
Yanjun Han · Soham Jana · Yihong Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
Juan Correa · Sanghack Lee · Elias Bareinboim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Class-Disentanglement and Applications in Adversarial Detection and Defense
Kaiwen Yang · Tianyi Zhou · Yonggang Zhang · Xinmei Tian · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
NAS-Bench-x11 and the Power of Learning Curves
Shen Yan · Colin White · Yash Savani · Frank Hutter
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Permuton-induced Chinese Restaurant Process
Masahiro Nakano · Yasuhiro Fujiwara · Akisato Kimura · Takeshi Yamada · naonori ueda
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Adaptation for Covariate Shift
Aurick Zhou · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Hyperparameter Tuning is All You Need for LISTA
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Representing Long-Range Context for Graph Neural Networks with Global Attention
Zhanghao Wu · Paras Jain · Matthew Wright · Azalia Mirhoseini · Joseph Gonzalez · Ion Stoica
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
Xin Zhang · Zhuqing Liu · Jia Liu · Zhengyuan Zhu · Songtao Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li · Shunli Ren · Pengxiang Wu · Siheng Chen · Chen Feng · Wenjun Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Generalization Bounds for (Wasserstein) Robust Optimization
Yang An · Rui Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Characterizing possible failure modes in physics-informed neural networks
Aditi Krishnapriyan · Amir Gholami · Shandian Zhe · Robert Kirby · Michael Mahoney
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy · Anca Dragan · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Second-Order Neural ODE Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen · Ching-Hua Lee · Harinath Garudadri · Bhaskar D Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
Jongmin Lee · Chanwoo Park · Ernest Ryu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal Sketching for Trace Estimation
Shuli Jiang · Hai Pham · David Woodruff · Richard Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan · Su Jia · Andrew Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Collapsed Variational Bounds for Bayesian Neural Networks
Marcin Tomczak · Siddharth Swaroop · Andrew Foong · Richard Turner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Raul Astudillo · Daniel Jiang · Maximilian Balandat · Eytan Bakshy · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen · Mehdi Jafarnia-Jahromi · Rahul Jain · Haipeng Luo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning
Sheng Zhang · Zhe Zhang · Siva Theja Maguluri
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang · Chunyuan Li · Pengchuan Zhang · Xiyang Dai · Bin Xiao · Lu Yuan · Jianfeng Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
Gugan Chandrashekhar Thoppe · Bhumesh Kumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Divyansh Jhunjhunwala · Ankur Mallick · Advait Gadhikar · Swanand Kadhe · Gauri Joshi