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Stephen Bates
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2020 – today
- 2024
- [c33]Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. AISTATS 2024: 478-486 - [c32]Serena Lutong Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan:
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. AISTATS 2024: 1522-1530 - [c31]Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster:
Conformal Risk Control. ICLR 2024 - [c30]Anastasios Nikolas Angelopoulos, Rina Barber, Stephen Bates:
Online conformal prediction with decaying step sizes. ICML 2024 - [i26]Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates:
Online conformal prediction with decaying step sizes. CoRR abs/2402.01139 (2024) - [i25]Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan:
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. CoRR abs/2403.19605 (2024) - 2023
- [j13]Anastasios N. Angelopoulos, Stephen Bates:
Conformal Prediction: A Gentle Introduction. Found. Trends Mach. Learn. 16(4): 494-591 (2023) - [j12]Shai Feldman, Stephen Bates, Yaniv Romano:
Calibrated Multiple-Output Quantile Regression with Representation Learning. J. Mach. Learn. Res. 24: 24:1-24:48 (2023) - [j11]Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano:
Achieving Risk Control in Online Learning Settings. Trans. Mach. Learn. Res. 2023 (2023) - [c29]Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. COPA 2023: 175-193 - [c28]Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano:
Conformal Prediction is Robust to Dispersive Label Noise. COPA 2023: 624-626 - [c27]Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani:
Class-Conditional Conformal Prediction with Many Classes. NeurIPS 2023 - [c26]Banghua Zhu
, Stephen Bates
The Sample Complexity of Online Contract Design. EC 2023: 1188 - [i24]Anastasios N. Angelopoulos
Prediction-Powered Inference. CoRR abs/2301.09633 (2023) - [i23]Serena Lutong Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan:
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry. CoRR abs/2305.14595 (2023) - [i22]Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani:
Class-Conditional Conformal Prediction With Many Classes. CoRR abs/2306.09335 (2023) - [i21]Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff:
Incentive-Theoretic Bayesian Inference for Collaborative Science. CoRR abs/2307.03748 (2023) - [i20]Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. CoRR abs/2309.01837 (2023) - 2022
- [c25]Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML 2022: 717-730 - [c24]Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola:
Semantic uncertainty intervals for disentangled latent spaces. NeurIPS 2022 - [c23]Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan:
Robust Calibration with Multi-domain Temperature Scaling. NeurIPS 2022 - [i19]Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan:
Online Active Learning with Dynamic Marginal Gain Thresholding. CoRR abs/2201.10547 (2022) - [i18]Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan:
Conformal prediction for the design problem. CoRR abs/2202.03613 (2022) - [i17]Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR abs/2202.05265 (2022) - [i16]Stephen Bates, Michael I. Jordan, Michael Sklar, Jake A. Soloff:
Principal-Agent Hypothesis Testing. CoRR abs/2205.06812 (2022) - [i15]Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan:
Robust Calibration with Multi-domain Temperature Scaling. CoRR abs/2206.02757 (2022) - [i14]Anastasios N. Angelopoulos
Recommendation Systems with Distribution-Free Reliability Guarantees. CoRR abs/2207.01609 (2022) - [i13]Swami Sankaranarayanan, Anastasios N. Angelopoulos
Semantic uncertainty intervals for disentangled latent spaces. CoRR abs/2207.10074 (2022) - [i12]Anastasios N. Angelopoulos
Conformal Risk Control. CoRR abs/2208.02814 (2022) - [i11]Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos
Conformal Prediction is Robust to Label Noise. CoRR abs/2209.14295 (2022) - [i10]Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan:
The Sample Complexity of Online Contract Design. CoRR abs/2211.05732 (2022) - 2021
- [j10]Stephen Bates, Anastasios Angelopoulos
Distribution-free, Risk-controlling Prediction Sets. J. ACM 68(6): 43:1-43:34 (2021) - [c22]Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik:
Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR 2021 - [c21]Shai Feldman, Stephen Bates, Yaniv Romano:
Improving Conditional Coverage via Orthogonal Quantile Regression. NeurIPS 2021: 2060-2071 - [c20]Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan:
Test-time Collective Prediction. NeurIPS 2021: 13719-13731 - [i9]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-Free, Risk-Controlling Prediction Sets. CoRR abs/2101.02703 (2021) - [i8]Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan:
Private Prediction Sets. CoRR abs/2102.06202 (2021) - [i7]Shai Feldman, Stephen Bates, Yaniv Romano:
Improving Conditional Coverage via Orthogonal Quantile Regression. CoRR abs/2106.00394 (2021) - [i6]Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan:
Test-time Collective Prediction. CoRR abs/2106.12012 (2021) - [i5]Anastasios N. Angelopoulos, Stephen Bates:
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. CoRR abs/2107.07511 (2021) - [i4]Shai Feldman, Stephen Bates, Yaniv Romano:
Calibrated Multiple-Output Quantile Regression with Representation Learning. CoRR abs/2110.00816 (2021) - [i3]Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei:
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR abs/2110.01052 (2021) - 2020
- [c19]Yaniv Romano, Stephen Bates, Emmanuel J. Candès:
Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS 2020 - [i2]Yaniv Romano, Stephen Bates, Emmanuel J. Candès:
Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR abs/2006.04292 (2020) - [i1]Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan:
Uncertainty Sets for Image Classifiers using Conformal Prediction. CoRR abs/2009.14193 (2020)
2010 – 2019
- 2015
- [c18]Lorenzo Zuolo, Cristian Zambelli
Design space exploration of latency and bandwidth in RRAM-based solid state drives. NVMTS 2015: 1-4 - 2010
- [j9]Zhengang Chen, Tyler L. Brandon, Duncan G. Elliott
Jointly Designed Architecture-Aware LDPC Convolutional Codes and High-Throughput Parallel Encoders/Decoders. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(4): 836-849 (2010)
2000 – 2009
- 2009
- [j8]Tyler L. Brandon, John C. Koob, Leendert van den Berg, Zhengang Chen, Amirhossein Alimohammad, Ramkrishna Swamy, Jason Klaus, Stephen Bates, Vincent C. Gaudet
A Compact 1.1-Gb/s Encoder and a Memory-Based 600-Mb/s Decoder for LDPC Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(5): 1017-1029 (2009) - 2008
- [j7]Tyler L. Brandon, Robert Hang, Gary Block, Vincent C. Gaudet
A scalable LDPC decoder ASIC architecture with bit-serial message exchange. Integr. 41(3): 385-398 (2008) - [j6]Stephen Bates, Zhengang Chen, Logan Gunthorpe, Ali Emre Pusane, Kamil Sh. Zigangirov, Daniel J. Costello Jr.:
A Low-Cost Serial Decoder Architecture for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(7): 1967-1976 (2008) - [j5]Zhengang Chen, Tyler L. Brandon, Stephen Bates, Duncan G. Elliott
Efficient Implementation of Low-Density Parity-Check Convolutional Code Encoders With Built-In Termination. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(11): 3628-3640 (2008) - [c17]Tyler L. Brandon, John C. Koob, Leendert van den Berg, Zhengang Chen, Amirhossein Alimohammad, Ramkrishna Swamy, Jason Klaus, Stephen Bates, Vincent C. Gaudet
A 600-Mb/s encoder and decoder for low-density parity-check convolutional codes. ISCAS 2008: 3090-3093 - [c16]Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates:
Detecting changes in the Hurst parameter. LCN 2008: 876-883 - 2007
- [j4]Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon, Bruce F. Cockburn, Duncan G. Elliott
Design and Test of a 175-Mb/s, Rate-1/2 (128, 3, 6) Low-Density Parity-Check Convolutional Code Encoder and Decoder. IEEE J. Solid State Circuits 42(10): 2245-2256 (2007) - [c15]Shubhankar Chatterjee, Mike H. MacGregor, Stephen Bates:
Generating LRD Traffic Traces Using Bootstrapping. ITC 2007: 272-283 - 2006
- [j3]Stephen Bates, Duncan G. Elliott
Termination Sequence Generation Circuits for Low-Density Parity-Check Convolutional Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(9): 1909-1917 (2006) - [c14]Zhengang Chen, Stephen Bates, Duncan G. Elliott
Efficient Encoding and Termination of Low-Density Parity-Check Convolutional Codes. GLOBECOM 2006 - [c13]Stephen Bates, Logan Gunthorpe, Ali Emre Pusane, Zhengang Chen, Kamil Sh. Zigangirov, Daniel J. Costello Jr.:
Decoders for low-density parity-check convolutional codes with large memory. ISCAS 2006 - [c12]Stephen Bates, Ramkrishna Swamy:
Parallel encoders for low-density parity-check convolutional codes. ISCAS 2006 - [c11]Saeed Sharifi Tehrani, Bruce F. Cockburn, Stephen Bates:
On the Effects of Colored Noise on the Performance of LDPC Codes. SiPS 2006: 226-231 - 2005
- [j2]Zhengang Chen, Stephen Bates:
Construction of low-density parity-check convolutional codes through progressive edge-growth. IEEE Commun. Lett. 9(12): 1058-1060 (2005) - [c10]Zhengang Chen, Stephen Bates, Xiaodai Dong:
Low-density parity-check convolutional codes applied to packet based communication systems. GLOBECOM 2005: 5 - [c9]Stephen Bates, Gary Block:
A memory-based architecture for FPGA implementations of low-density parity-check convolutional decoders. ISCAS (1) 2005: 336-339 - [c8]Ramkrishna Swamy, Stephen Bates, Tyler L. Brandon:
Architectures for ASIC implementations of low-density parity-check convolutional encoders and decoders. ISCAS (5) 2005: 4513-4516 - [c7]Stephen Bates, Kris Iniewski:
10 GBPS over Copper Lines - State of the Art in VLSI, invited. IWSOC 2005: 491-494 - 2004
- [c6]Sumeeth Nagaraj, Stephen Bates, Christian Schlegel:
Application of Eigenspace Analysis Techniques to Ad-Hoc Networks. ADHOC-NOW 2004: 300-305 - [c5]Stephen Bates:
VLSI Issues for the Implementation of 10GBASE-T Ethernet. ESA/VLSI 2004: 382-386 - [c4]Stephen Bates:
On edges and connectivity in ad hoc networks. GLOBECOM 2004: 3588-3593 - [c3]Stephen Bates:
Delivery of Streaming Video in Next-Generation Mobile Networks. ICT 2004: 7-15 - 2000
- [j1]Stephen Bates, Steve McLaughlin
The estimation of stable distribution parameters from teletraffic data. IEEE Trans. Signal Process. 48(3): 865-870 (2000)
1990 – 1999
- 1998
- [c2]Stephen Bates, Steve McLaughlin
The effective bandwidth of stable distributions. ICASSP 1998: 2281-2284 - 1996
- [c1]Stephen Bates, Steve McLaughlin:
Is VBR Video Non-Stationary or Self-Similar? Implications for ATM Traffic Characterisation. ESM 1996: 531-534
Coauthor Index
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last updated on 2024-09-13 01:40 CEST by the dblp team
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